Template-Type: ReDIF-Article 1.0
Author-Name: Rayenda Khresna Brahmana
Author-X-Name-First: Rayenda Khresna
Author-X-Name-Last: Brahmana
Author-Name: Hiroya Ono
Author-X-Name-First: Hiroya
Author-X-Name-Last: Ono
Title: Energy efficiency and company performance in Japanese listed companies
Abstract:
This research empirically investigates the relationship between energy efficiency and company performance for a pooled sample of 177 listed companies in Japan over 2005-2014. We find that energy efficiency plays a significant role in company performance in Japan, thereby debunking the energy efficiency paradox. Our research further indicates that this energy efficiency not only affects the market-based performance (Tobin's Q), but it also significantly impacts the accounting-book performance (return on assets). The findings present significant contributions to both the academic body of knowledge and the industry. The findings can also provide a basis for the Japanese Government to encourage companies to enact more energy efficient practices.
Journal: Int. J. of Energy Technology and Policy
Pages: 24-40
Issue: 1
Volume: 16
Year: 2020
Keywords: energy efficiency; company performance; Tobin's Q; return on asset; ROA; Japan.
File-URL: http://www.inderscience.com/link.php?id=103845
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Handle: RePEc:ids:ijetpo:v:16:y:2020:i:1:p:24-40
Template-Type: ReDIF-Article 1.0
Author-Name: Tafirenyika Sunde
Author-X-Name-First: Tafirenyika
Author-X-Name-Last: Sunde
Title: Energy consumption and economic growth modelling in SADC countries: an application of the VAR Granger causality analysis
Abstract:
We investigate the relationship between energy consumption and economic growth in ten SADC countries using the VAR model over the period 1971 to 2015. We convert variables to growth rates before we use them in the model. Results indicate unidirectional causality running from real economic growth to energy consumption in Angola, Democratic Republic of Congo, Mauritius, Namibia; bidirectional causality between energy consumption and economic growth in Botswana and Mauritius, and no causality in Mozambique, South Africa, Zambia and Zimbabwe. In countries where real economic growth Granger causes energy consumption the conservation hypothesis is confirmed. In countries where no causality is found the neutrality hypothesis is confirmed which implies economic growth and energy consumption independent of each other. The feedback hypothesis confirmed in Botswana and Mauritius implies that an increase in the economic output will increase the level of energy consumption while an energy conservation policy will adversely affect economic output.
Journal: Int. J. of Energy Technology and Policy
Pages: 41-56
Issue: 1
Volume: 16
Year: 2020
Keywords: economic growth; energy consumption; VAR model; Granger causality; SADC countries; variable growth rates; conservation policy; no causality; feedback hypothesis; bidirectional causality; econometric approaches.
File-URL: http://www.inderscience.com/link.php?id=103846
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Handle: RePEc:ids:ijetpo:v:16:y:2020:i:1:p:41-56
Template-Type: ReDIF-Article 1.0
Author-Name: Hamid Ghaderi
Author-X-Name-First: Hamid
Author-X-Name-Last: Ghaderi
Author-Name: Hossein Gitinavard
Author-X-Name-First: Hossein
Author-X-Name-Last: Gitinavard
Author-Name: Mir Saman Pishvaee
Author-X-Name-First: Mir Saman
Author-X-Name-Last: Pishvaee
Title: A system dynamics approach to analysing bioethanol and biodiesel supply chains: increasing bioethanol and biodiesel market shares in the USA
Abstract:
This paper proposes a system dynamics model to study and analyse interactions among the variables of bioethanol and biodiesel supply chains. The proposed model is used for constructing scenarios to investigate appropriate policy options and their possible future effects on the market share of bioethanol and biodiesel in the USA. In order to increase bioethanol and biodiesel market shares and creating a reasonable balance between them, a scenario-based sensitivity analysis is conducted. The results of sensitivity analysis demonstrate that causing an increase in oil plant and biodiesel production and a decrease in corn and bioethanol production results in an increase in both bioethanol and biodiesel market shares as well as a fair balance between them. Policy implications related to increasing biofuel production in the USA are also provided. Additionally, for validating the proposed model, behaviour reproduction test is done.
Journal: Int. J. of Energy Technology and Policy
Pages: 57-84
Issue: 1
Volume: 16
Year: 2020
Keywords: corn; oil plants; bioethanol; biodiesel; supply chain management; system dynamics; scenario-based analysis; USA.
File-URL: http://www.inderscience.com/link.php?id=103849
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Handle: RePEc:ids:ijetpo:v:16:y:2020:i:1:p:57-84
Template-Type: ReDIF-Article 1.0
Author-Name: H. Cherif
Author-X-Name-First: H.
Author-X-Name-Last: Cherif
Author-Name: J. Belhadj
Author-X-Name-First: J.
Author-X-Name-Last: Belhadj
Title: Hybridisation study of renewable multi-source systems based on environmental economic and technical indicators
Abstract:
In this paper the authors investigate the interest in hybridisation of autonomous renewable multi-source systems under economic environmental and technical indicators of a hybrid photovoltaic-wind system with battery storage of a residential house. A parametric sensitivity algorithm is developed to find the best compromise between four objectives: embodied energy, GHG emissions, life cycle cost and loss of power probability. During a life cycle period of 25 years, nine models of embodied energy, GHG emission and life cycle cost are developed. A dynamic simulator and its power management is developed under annual data of weather conditions and electric load data (residential house) for one year with a sampling step of half an hour. As results, it is found that the hybrid WT/Battery is the environmentally better choice while the hybrid PV/Battery is the economically better choice. But, the hybrid PV/WT/Battery system is designed to meet both the economic and environmental requirements.
Journal: Int. J. of Energy Technology and Policy
Pages: 85-103
Issue: 1
Volume: 16
Year: 2020
Keywords: hybrid systems; dynamic simulator; life cycle assessment; parametric sensitivity; environmental impacts; hybridisation.
File-URL: http://www.inderscience.com/link.php?id=103852
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Handle: RePEc:ids:ijetpo:v:16:y:2020:i:1:p:85-103
Template-Type: ReDIF-Article 1.0
Author-Name: Kumari Kasturi
Author-X-Name-First: Kumari
Author-X-Name-Last: Kasturi
Author-Name: Manas Ranjan Nayak
Author-X-Name-First: Manas Ranjan
Author-X-Name-Last: Nayak
Title: Multi-objective MCTLBO approach to allocate renewable energy system (PV/BESS) in electricity grid: assessing grid benefits
Abstract:
With the advent of the smart grid paradigm many distribution system operators are making efforts to modernise their power grids through the optimal integration of renewable energy system (RES) such as photovoltaic/battery energy storage system (PV/BESS).This paper presents a novel mathematical model and solution approach for the optimal allocation of RES in radial distribution system (RDS). The optimal allocation of RES is formulated as a problem, and it is solved by multi-objective multi-course teaching learning based optimisation (MCTLBO). An efficient codification for the allocation of RES allows the multi-objective MCTLBO to find the optimal location, capacity and power dispatch of RESs for a given RESs for a given load level with time of use (TOU) pricing. The proposed methodology is tested on the 69-bus RDS. It was found that an appropriate allocation of RESs results techno-economic improvement for the system under study.
Journal: Int. J. of Energy Technology and Policy
Pages: 1-23
Issue: 1
Volume: 16
Year: 2020
Keywords: photovoltaic system; battery energy storage system; BESS; radial distribution system; RDS; MCTLBO.
File-URL: http://www.inderscience.com/link.php?id=103876
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Handle: RePEc:ids:ijetpo:v:16:y:2020:i:1:p:1-23
Template-Type: ReDIF-Article 1.0
Author-Name: Reza Babazadeh
Author-X-Name-First: Reza
Author-X-Name-Last: Babazadeh
Author-Name: Shima Pashapour
Author-X-Name-First: Shima
Author-X-Name-Last: Pashapour
Author-Name: Abbas Keramati
Author-X-Name-First: Abbas
Author-X-Name-Last: Keramati
Title: Developing an integrated approach for optimum prediction and forecasting of renewable and non-renewable energy consumption in Iran
Abstract:
Energy planning for mid and long term periods needs forecasting the energy demands in the future. The artificial neural network (ANN) is an efficient forecasting tool which have been widely applied in different fields. One of the weaknesses of the ANN method is appeared when the studied case has many input parameters affecting on the performance of output factor. Noteworthy, there is not reliable data in many applications of real world. The canonical correlation analysis (CCA) method is an efficient tool for data reduction purpose keeping useful information of the used data. The purpose of this paper is to estimate and predict the renewable and non-renewable energy consumption considering environmental and economic factors. To this aim, an integrated approach based on the CCA and ANN method is utilised. The results show that the proposed approach reduces dimension of data without losing valuable information.
Journal: Int. J. of Energy Technology and Policy
Pages: 119-135
Issue: 2
Volume: 16
Year: 2020
Keywords: renewable energy; non-renewable energy; canonical correlation analysis; CCA; artificial neural network; ANN; environmental and economic factors; Iran.
File-URL: http://www.inderscience.com/link.php?id=105505
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Handle: RePEc:ids:ijetpo:v:16:y:2020:i:2:p:119-135
Template-Type: ReDIF-Article 1.0
Author-Name: Arif Rahman Sobri
Author-X-Name-First: Arif Rahman
Author-X-Name-Last: Sobri
Author-Name: Djoni Hartono
Author-X-Name-First: Djoni
Author-X-Name-Last: Hartono
Author-Name: Nina Indriati Lestari
Author-X-Name-First: Nina Indriati
Author-X-Name-Last: Lestari
Title: Energy efficiency, rebound effect and environmental tax reform in Indonesia
Abstract:
Energy intensity level in Indonesia is decreasing, which is a sign of energy efficiency improvement. However, with the presence of rebound effect, energy consumption becomes challenging to reduce. With a general equilibrium (CGE) model application, this study analyses a rebound effect existence in Indonesia and whether the energy subsidy and income tax reduction could lessen the rebound effect. While it confirms the rebound effect presence, energy subsidy reduction policy could play an important part in determining its level. The policy is believed to reduce rebound effect on fuel oil while elevates it when it comes to electricity and gas. Furthermore, it leads to a positive effect on the economy. However, the other policy such as income tax reduction, indicates contrarily.
Journal: Int. J. of Energy Technology and Policy
Pages: 136-159
Issue: 2
Volume: 16
Year: 2020
Keywords: energy efficiency; rebound effect; energy subsidy; income tax reduction; environmental tax reform; ETR; Indonesia.
File-URL: http://www.inderscience.com/link.php?id=105506
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Handle: RePEc:ids:ijetpo:v:16:y:2020:i:2:p:136-159
Template-Type: ReDIF-Article 1.0
Author-Name: Seyi Saint Akadiri
Author-X-Name-First: Seyi Saint
Author-X-Name-Last: Akadiri
Author-Name: Ada Chigozie Akadiri
Author-X-Name-First: Ada Chigozie
Author-X-Name-Last: Akadiri
Title: Interaction between CO2 emissions, energy consumption and economic growth in the Middle East: panel causality evidence
Abstract:
The Middle East is one of the biggest suppliers of energy resources in the world. Through electricity production, transportation, oil and gas industries, industrial heating, the quality of air, environment and the whole economy at large is being affected. It is on this premise, this study examine the long-run equilibrium relationship and Granger causality interaction between CO<SUB align="right"><SMALL>2</SMALL></SUB> emissions, income per capita and energy use caused by these traffics. We employ second generation panel approach that account for cross-sectional dependency, panel bootstrap cointegration testing as introduced by Westerlund and Edgerton (2007) and Granger causality testing procedure as proposed by Dumitrescu and Hurlin (2012). These econometrics techniques are robust for panel cointegration and panel Granger causality analysis. From our empirical results, we found evidence in support of a long-run equilibrium relationship among the variables, a bidirectional causality running from CO<SUB align="right"><SMALL>2</SMALL></SUB> to energy use, and unidirectional causality running from CO<SUB align="right"><SMALL>2</SMALL></SUB> emissions to income per capita. However, between income per capita and CO<SUB align="right"><SMALL>2</SMALL></SUB> emissions, income per capita to energy use and energy use to income per capita all without a feedback in the long-run. We propose significant policy implications based on our empirical results.
Journal: Int. J. of Energy Technology and Policy
Pages: 105-118
Issue: 2
Volume: 16
Year: 2020
Keywords: CO2 emissions; economic growth; energy consumption; cointegration; causality; panel approach; Middle East.
File-URL: http://www.inderscience.com/link.php?id=105507
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Handle: RePEc:ids:ijetpo:v:16:y:2020:i:2:p:105-118
Template-Type: ReDIF-Article 1.0
Author-Name: Bent Sørensen
Author-X-Name-First: Bent
Author-X-Name-Last: Sørensen
Title: Powerhouse British Isles
Abstract:
The British Isles are blessed with one of the largest resources of offshore wind energy in the world. A scenario simulation is used to demonstrate that not only can each society within the British Isles area in a matter of a few decades (say around 2050) develop an energy system to satisfy all energy demands with 100% renewable energy, but there are further export opportunities to cover more than the entire electricity needs of the continental European Union (EU). The political implication of this is that it would be very foolish of the European Union not to use the Brexit negotiations to establish a friendly relationship with the UK that can open for the electricity imports without which it will be very difficult for the continental EU to reach an emission-free and sustainable energy system.
Journal: Int. J. of Energy Technology and Policy
Pages: 160-173
Issue: 2
Volume: 16
Year: 2020
Keywords: energy export; offshore wind power; energy scenarios; sustainability; European policy; British Isles.
File-URL: http://www.inderscience.com/link.php?id=105508
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Handle: RePEc:ids:ijetpo:v:16:y:2020:i:2:p:160-173
Template-Type: ReDIF-Article 1.0
Author-Name: Yu Sang Chang
Author-X-Name-First: Yu Sang
Author-X-Name-Last: Chang
Author-Name: Hann Earl Kim
Author-X-Name-First: Hann Earl
Author-X-Name-Last: Kim
Author-Name: Seongmin Jeon
Author-X-Name-First: Seongmin
Author-X-Name-Last: Jeon
Author-Name: Yoo-Taek Lee
Author-X-Name-First: Yoo-Taek
Author-X-Name-Last: Lee
Title: How much wind-powered electricity may be generated in 2040 by China, USA and four other countries?
Abstract:
Projections of long-term wind-powered electricity by the Energy Information Administration in the past may have been too conservative. We generate alternative projections for China, USA, India, Canada, Japan and South Korea, and compare them against the projections made by the Energy Information Administration (EIA) for the years 2020, 2030 and 2040. Although our projections are much higher than the EIA's for five of the countries, the exception being Japan, our projections are supported by several projections made by other organisations. Implications from our findings will be discussed.
Journal: Int. J. of Energy Technology and Policy
Pages: 196-212
Issue: 2
Volume: 16
Year: 2020
Keywords: wind-powered electricity; experience curve; wind electricity intensity; China; USA.
File-URL: http://www.inderscience.com/link.php?id=105509
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Handle: RePEc:ids:ijetpo:v:16:y:2020:i:2:p:196-212
Template-Type: ReDIF-Article 1.0
Author-Name: Afshan Ilyas
Author-X-Name-First: Afshan
Author-X-Name-Last: Ilyas
Author-Name: Mohammad Ayyub
Author-X-Name-First: Mohammad
Author-X-Name-Last: Ayyub
Author-Name: M. Rizwan Khan
Author-X-Name-First: M. Rizwan
Author-X-Name-Last: Khan
Title: Modelling and simulation of MPPT techniques for solar photovoltaic system using genetic algorithm optimised fuzzy logic controller
Abstract:
This paper focuses on the intelligent techniques used for tracking the maximum power point of the solar photovoltaic (SPV) system for varying environmental conditions. The most widely used perturb and observe (P%O) maximum power point tracking (MPPT) technique is discussed briefly for the comparison with the intelligent techniques. The paper proposes control technique for the SPV system by using fuzzy logic controller (FLC)-based MPPT algorithm and the optimisation of its various parameters by genetic algorithm (GA). The performance of the FLC optimised with GA is compared with the P%O and the fuzzy-based MPPT technique. MATLAB/simulink software is used to design the different stages of the MPPT controllers. Simulation results reported that GA optimised FLC perform much better than the P%O and fuzzy logic-based MPPT controllers.
Journal: Int. J. of Energy Technology and Policy
Pages: 174-195
Issue: 2
Volume: 16
Year: 2020
Keywords: maximum power point tracking; solar photovoltaic; perturb and observe; fuzzy logic controller; genetic algorithm; modelling; MATLAB/Simulink; intelligent techniques; optimisation; energy policy.
File-URL: http://www.inderscience.com/link.php?id=105525
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Handle: RePEc:ids:ijetpo:v:16:y:2020:i:2:p:174-195
Template-Type: ReDIF-Article 1.0
Author-Name: Nyakundi Michieka
Author-X-Name-First: Nyakundi
Author-X-Name-Last: Michieka
Title: An empirical analysis of the role of rural population growth on electricity consumption in Sub-Saharan Africa
Abstract:
The objective of this study is to provide empirical evidence on the relationship between rural and urban population on electricity consumption in five Sub-Saharan countries between 1971 and 2013. Results from the autoregressive distributed lag (ARDL)-bounds testing approach indicate that rural population plays a larger role in electricity consumption than the urban population in Côte d'Ivoire, Congo Republic and Zambia. In Congo Republic, a 1% growth in rural population resulted in a 29.4% decline in growth of electricity consumption in the long run. Growth in rural and urban population does not affect electricity use in Kenya and South Africa.
Journal: Int. J. of Energy Technology and Policy
Pages: 302-325
Issue: 3
Volume: 16
Year: 2020
Keywords: rural and urban population; electricity consumption; Sub-Saharan Africa.
File-URL: http://www.inderscience.com/link.php?id=107018
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Handle: RePEc:ids:ijetpo:v:16:y:2020:i:3:p:302-325
Template-Type: ReDIF-Article 1.0
Author-Name: Augustus Ehiremen Ibhaze
Author-X-Name-First: Augustus Ehiremen
Author-X-Name-Last: Ibhaze
Author-Name: Moses Uwakmfon Akpabio
Author-X-Name-First: Moses Uwakmfon
Author-X-Name-Last: Akpabio
Author-Name: Tolulope Olusegun Akinbulire
Author-X-Name-First: Tolulope Olusegun
Author-X-Name-Last: Akinbulire
Title: A review on smart metering infrastructure
Abstract:
Smart metering, a subset of the smart grid architecture has evolved over the years as power system infrastructure demand efficient energy management initiative. The basic challenge of inefficient energy utilisation and energy wastage in consumer premise in an energy saving driven society has led to the development of smart metering solutions. This paper therefore provides a review on smart metering technology, its' design requirements, protocols and challenges, policy issues.
Journal: Int. J. of Energy Technology and Policy
Pages: 277-301
Issue: 3
Volume: 16
Year: 2020
Keywords: energy policy; metering infrastructure; smart meter; internet of things; retrofit; smart grid; energy; policy.
File-URL: http://www.inderscience.com/link.php?id=107019
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Handle: RePEc:ids:ijetpo:v:16:y:2020:i:3:p:277-301
Template-Type: ReDIF-Article 1.0
Author-Name: Ali Faridzad
Author-X-Name-First: Ali
Author-X-Name-Last: Faridzad
Title: Distributional impacts of gasoline supply constrained in Iran: application of input-output mixed price model
Abstract:
Iran has always been the importer of gasoline over the last decade and international sanctions have made imports of this commodity potentially constraint. This condition as a supply constraint can damage the production of other economic sectors through rising in production prices and changing Iranian household welfare. Thus, a key question in this regard is how Iranian household expenditures will be affected in different consumer groups if the gasoline supply is constrained. To answer this question, the mixed-variable input-output price model and a symmetric Iran 38 × 38 input-output table for the year 2005 were employed. The results showed that most of the poor urban groups, especially the first eight groups, show a high sensitivity to the rise in gasoline prices and reduction in their overall expenditures. Nevertheless, rural households, unlike urban households, are heavily dependent on gasoline consumption, and do not reduce their expenditures in response to price changes.
Journal: Int. J. of Energy Technology and Policy
Pages: 213-237
Issue: 3
Volume: 16
Year: 2020
Keywords: gasoline supply constraint; mixed-variable input-output; household expenditure; Iran.
File-URL: http://www.inderscience.com/link.php?id=107028
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Handle: RePEc:ids:ijetpo:v:16:y:2020:i:3:p:213-237
Template-Type: ReDIF-Article 1.0
Author-Name: Priyanka Anand
Author-X-Name-First: Priyanka
Author-X-Name-Last: Anand
Author-Name: Sarbjeet Kaur Bath
Author-X-Name-First: Sarbjeet Kaur
Author-X-Name-Last: Bath
Author-Name: Mohammad Rizwan
Author-X-Name-First: Mohammad
Author-X-Name-Last: Rizwan
Title: Size optimisation of RES-based grid connected hybrid power system using harmony search algorithm
Abstract:
In the present context, renewable energy sources are recognised as the best alternative of fossil fuels in order to fulfil the ever increasing demand with minimum harmful impact on environment. The combination of renewable energy sources can also be used in grid connected environment. This will help in reducing the burden of increasing demand on grid. Also, utility grid can supply deficit demand in case available generation from renewable energy sources becomes less than the demand. In the present paper, intelligent modelling of grid connected hybrid system has been carried out. Further, the total net present cost (NPC) of the considered system is optimised under the constraints of power reliability, storage limit on battery, etc. Finally, a comparative analysis has also been performed between the grid connected and standalone hybrid system based on the size and cost of components.
Journal: Int. J. of Energy Technology and Policy
Pages: 238-276
Issue: 3
Volume: 16
Year: 2020
Keywords: solar; wind; biomass; biogas; power reliability; grid.
File-URL: http://www.inderscience.com/link.php?id=107035
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Handle: RePEc:ids:ijetpo:v:16:y:2020:i:3:p:238-276
Template-Type: ReDIF-Article 1.0
Author-Name: Rajesh Arora
Author-X-Name-First: Rajesh
Author-X-Name-Last: Arora
Title: Energy, exergy and exergoeconomic analyses and optimisation of 137 MW gas power station implementing MOPSOCD
Abstract:
Performance evaluation and optimisation of operating parameters of gas power plants are the key challenges for the researchers and the power plant designers. Traditional performance evaluation techniques being utilised operate on the first law of thermodynamics. Exhaustive studies in this area suggest scope of improvement in view of power output, thermal efficiency and cost effectiveness through more valuable evaluation techniques as second law analysis, exergoeconomic analysis and evolutionary algorithms. In this perspective, energy, exergy and exergoeconomic investigations of the gas power plant are executed in context with 1st and 2nd laws of thermodynamics. The multi-objective optimisation is also performed using NSGA-II and MOPSOCD evolutionary algorithms in MATLAB 9.2 in order to explore best input parameters and to find best trade off amongst two challenging objectives. The validation of the present work is done by correlating the obtained outcomes with 137 MW running gas power plant, Faridabad, India. The analysis illustrates a considerable enhancement in exergy efficiency of the power plant (around 18%) with a drop-in cost of the fuel and product as 15.72% and 13.24% respectively. However, total capital cost is increased by 10.61%.
Journal: Int. J. of Energy Technology and Policy
Pages: 327-352
Issue: 4
Volume: 16
Year: 2020
Keywords: gas power plant; energy; exergy; exergoeconomics; NSGA-II; MOPSOCD; LINMAP decision making method.
File-URL: http://www.inderscience.com/link.php?id=107954
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Handle: RePEc:ids:ijetpo:v:16:y:2020:i:4:p:327-352
Template-Type: ReDIF-Article 1.0
Author-Name: Abhijit Sinha
Author-X-Name-First: Abhijit
Author-X-Name-Last: Sinha
Author-Name: Laxman Mishra
Author-X-Name-First: Laxman
Author-X-Name-Last: Mishra
Title: A thermodynamic performance analysis of the agricultural sector of India
Abstract:
Thermodynamic analysis of Indian agricultural sector for a period of 14 years between 2001-2002 and 2014-2015 has been carried out in order to find the thermal efficiency and irreversible losses with the application of the principles of energy and exergy analysis. The devices such as tractors, power tillers using diesel and irrigation pump-sets using electricity, which consumes major portion of the energy inputs are assumed to be the representative of Indian agricultural sector. It is found that during the study period the overall exergy efficiencies (66.05% to 68.46%) are slightly less than corresponding energy efficiencies (66.09% to 68.47%). The energy and exergy flow diagrams and further improvement potential of this important sector are also presented. The results of this study can be used as guidelines for research and development such as analysing sectoral energy and exergy utilisation, providing measures for energy conservation and policy development.
Journal: Int. J. of Energy Technology and Policy
Pages: 353-376
Issue: 4
Volume: 16
Year: 2020
Keywords: Indian agricultural sector; national energy policy; energy analysis; exergy analysis; improvement potential; India.
File-URL: http://www.inderscience.com/link.php?id=107960
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Handle: RePEc:ids:ijetpo:v:16:y:2020:i:4:p:353-376
Template-Type: ReDIF-Article 1.0
Author-Name: Udara Ranasinghe
Author-X-Name-First: Udara
Author-X-Name-Last: Ranasinghe
Author-Name: Y.G. Sandanayake
Author-X-Name-First: Y.G.
Author-X-Name-Last: Sandanayake
Title: ESCO business model for energy conservation in Sri Lanka
Abstract:
Energy service company (ESCO) is a renowned concept in the developed world for energy conservation projects, although there is lack of suitable ESCO business model for guaranteed return and safeguard energy performance risks in energy conservation projects in Sri Lanka. This study therefore aims to investigate the gap between the existing energy service practices in Sri Lanka and ESCO concept, and to develop an ESCO business model accordingly, a comprehensive literature review and in-depth interviews with 12 subject matter experts were carried out to achieve the aim. Research findings identified ten sub-elements under four main elements, i.e., value proposition, customers, value creation and delivery and value capture, in the proposed ESCO business model. Key findings further revealed 'guaranteed saving' as the best finance model for Sri Lankan built environments. The research finally developed an ESCO business model incorporating appropriate energy service practices which will lead both ESCOs and the clients in Sri Lanka to gain the competitive edge.
Journal: Int. J. of Energy Technology and Policy
Pages: 377-398
Issue: 4
Volume: 16
Year: 2020
Keywords: ESCO model; energy services; business model; energy conservation; energy management.
File-URL: http://www.inderscience.com/link.php?id=107964
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Handle: RePEc:ids:ijetpo:v:16:y:2020:i:4:p:377-398
Template-Type: ReDIF-Article 1.0
Author-Name: Su Wutyi Hnin
Author-X-Name-First: Su Wutyi
Author-X-Name-Last: Hnin
Author-Name: Chawalit Jeenanunta
Author-X-Name-First: Chawalit
Author-X-Name-Last: Jeenanunta
Title: A particle swarm optimised support vector regression for short-term load forecasting
Abstract:
The aim of this paper is to present a forecasting model for daily electricity demand. Support vector regression (SVR) has the ability that can perform well in nonlinear forecasting problems. In this paper, the parameter optimisation for SVR is proposed by using particle swarm optimisation (PSO). The data for testing the proposed method is obtained from the Electricity Generating Authority of Thailand (EGAT). The data have been recorded in every 30 minutes. The data from 2012 to 2013 is used for training to forecast daily electricity load demand in 2013. The performance of the model is measured by the mean absolute percentage error (MAPE). The results of SVR and SVR-PSO are compared. Optimising hyperparameters with PSO outperforms the SVR.
Journal: Int. J. of Energy Technology and Policy
Pages: 399-412
Issue: 4
Volume: 16
Year: 2020
Keywords: particle swarm optimisation; PSO; support vector regression; SVR; optimising hyperparameters; short-term load forecasting.
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Handle: RePEc:ids:ijetpo:v:16:y:2020:i:4:p:399-412
Template-Type: ReDIF-Article 1.0
Author-Name: Shinya Sekizaki
Author-X-Name-First: Shinya
Author-X-Name-Last: Sekizaki
Author-Name: Ichiro Nishizaki
Author-X-Name-First: Ichiro
Author-X-Name-Last: Nishizaki
Author-Name: Tomohiro Hayashida
Author-X-Name-First: Tomohiro
Author-X-Name-Last: Hayashida
Title: Decision making for electricity retailers in fractile model from multiple markets with rational responses of consumers
Abstract:
This paper presents a new decision-making model that enables a retailer to optimise a portfolio reflecting his or her risk attitude in the non-convex decision-making problem. In the proposed model, the responses of consumers to selling prices offered by the retailer are integrated with three types of electricity transactions. In our model, we deal with the three types of electricity transactions, i.e., forward contracts, day-ahead market transactions, and real-time market transactions, and consumers optimise the electricity consumption schedules in response to the time-of-use (TOU) selling prices offered by the retailer. In this paper, in order to examine behavior of the retailers with various risk attitudes effectively, we employ the fractile model that can find the preferred solution in the proposed non-convex decision-making model. Through the computational experiments, we demonstrate the validity of the proposed model for examining the retailer's actions in the deregulated electricity market.
Journal: Int. J. of Energy Technology and Policy
Pages: 413-432
Issue: 4
Volume: 16
Year: 2020
Keywords: decision making; electricity retail market; demand response; Stackelberg game; bi-level programming problem.
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Handle: RePEc:ids:ijetpo:v:16:y:2020:i:4:p:413-432
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Author-Name: Swarnalakshmi Umamaheswaran
Author-X-Name-First: Swarnalakshmi
Author-X-Name-Last: Umamaheswaran
Author-Name: Rajiv Seth
Author-X-Name-First: Rajiv
Author-X-Name-Last: Seth
Title: Impact of risk on the levelised cost of energy: the case of solar tariffs in India
Abstract:
Setting optimal tariffs that adequately compensate the investment and project risks is crucial to sustain the participation of private sector in India's ambitious solar programme. However, driven by fiscal priorities, state programs are increasingly resorting to aggressive tariff reduction to minimise compliance costs. This article first highlights the trends in solar tariffs and estimates the underlying levelised cost of energy (LCOE). We further delve into the broader institutional context and sectoral issues that motivate these trends. Finally, we evaluate the implications of low tariffs from the perspective of risk using quantitative simulations. Our results suggest that the levelised costs vary widely when evaluated against different risk scenarios. Based on these results we propose recommendations for policy makers in the context of determining tariffs that balance the interests of different stakeholders.
Journal: Int. J. of Energy Technology and Policy
Pages: 433-447
Issue: 4
Volume: 16
Year: 2020
Keywords: renewable energy; risk; simulation; solar energy; tariffs; India; Monte Carlo; energy policy.
File-URL: http://www.inderscience.com/link.php?id=107977
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Handle: RePEc:ids:ijetpo:v:16:y:2020:i:4:p:433-447
Template-Type: ReDIF-Article 1.0
Author-Name: Nirav Patel
Author-X-Name-First: Nirav
Author-X-Name-Last: Patel
Author-Name: Nitin Gupta
Author-X-Name-First: Nitin
Author-X-Name-Last: Gupta
Author-Name: Arun Kumar Verma
Author-X-Name-First: Arun Kumar
Author-X-Name-Last: Verma
Title: Present status, energy policies and future perspective of solar photovoltaic in India
Abstract:
This paper aims at presenting state of art solar photovoltaic (SPV) in India and various initiatives and actions plans launched by Indian Government to augment the share of most promising and growing source of renewable energy SPV. A renewable and sustainable source of energy such as solar PV has been playing a vital role in curbing carbon emission. This paper presents a widespread review of the present status, various energy policies and future perspective of SPV considering the fact that India is having an abundant amount of solar energy potential. The intention of this review is to emphasise broadly on the major constraints hampering the growth of SPV energy in India. Efforts have been made to presents the selections guide, applicable standards and state-wise sanctioned solar parks. It is hoped that the information reported in this paper will be a worth of one-stop source of information for researchers.
Journal: Int. J. of Energy Technology and Policy
Pages: 449-469
Issue: 5/6
Volume: 16
Year: 2020
Keywords: solar PV; renewable energy; solar potential; renewable public obligation; RPO; energy policies; grid interactive; off-grid; India.
File-URL: http://www.inderscience.com/link.php?id=109299
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Handle: RePEc:ids:ijetpo:v:16:y:2020:i:5/6:p:449-469
Template-Type: ReDIF-Article 1.0
Author-Name: Babajide Epe Shari
Author-X-Name-First: Babajide Epe
Author-X-Name-Last: Shari
Author-Name: Yacouba Moumouni
Author-X-Name-First: Yacouba
Author-X-Name-Last: Moumouni
Title: A system dynamics modelling for energy planning and carbon dioxide estimation of the Nigerian power sector
Abstract:
Energy is essential to supporting the modern life-style; it is the main driver to economic development and carbon dioxide (CO<SUB align="right"><SMALL>2</SMALL></SUB>) emissions. Due to associated complexities and uncertainties, decision makers and energy planners face increasing pressure to effectively address energy related challenges, including approaches to low carbon energy provision. This study seeks to develop a long-term, 2010-2050, system dynamics (SD) model of the Nigerian power sector (NPS). The model then helps to investigate ways to bridge the electricity supply and demand gaps by simulating various performance scenarios based on real socio-economic variables and estimation of CO<SUB align="right"><SMALL>2</SMALL></SUB>. A total of six policy scenarios were implemented. These scenarios sought to evaluate the influence of the following four parameters: 1) transmission losses (Tx); 2) time to adjust capacity (TAC); 3) population growth rate (PGR); 4) capacities under construction. Accordingly, results not only showed that the completion of the existing project and the Mambilla multipurpose hydropower (MMHP) would make the NPS 71% energy secured, but also revealed a paradigm shift in CO<SUB align="right"><SMALL>2</SMALL></SUB> reduction in the planning process considered by the study in contrast to the existing generations. Finally, capability of SD was affirmed by properly capturing feedbacks, delays, and other complexities in the NPS.
Journal: Int. J. of Energy Technology and Policy
Pages: 470-492
Issue: 5/6
Volume: 16
Year: 2020
Keywords: system dynamics; carbon dioxide; Nigerian power sector; energy planning; energy policy; Mambilla hydropower.
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Handle: RePEc:ids:ijetpo:v:16:y:2020:i:5/6:p:470-492
Template-Type: ReDIF-Article 1.0
Author-Name: Vahid Hajiebrahimi Farashah
Author-X-Name-First: Vahid Hajiebrahimi
Author-X-Name-Last: Farashah
Author-Name: Seyed Hossein Hosseini
Author-X-Name-First: Seyed Hossein
Author-X-Name-Last: Hosseini
Author-Name: Zeinab Sazvar
Author-X-Name-First: Zeinab
Author-X-Name-Last: Sazvar
Author-Name: Hamed Shakouri Ganjavi
Author-X-Name-First: Hamed Shakouri
Author-X-Name-Last: Ganjavi
Title: An investigation on the petrochemical industry development in Iran: a system dynamics approach
Abstract:
Petrochemical industry plays a significant role to achieve high value-added from oil and gas reserves, especially for countries with huge resources of fossil fuels. This study aims to investigate and model the development dynamics of the petrochemical industry in Iran using system dynamics (SD) methodology. Consequently, after describing the interrelationships among the main variables making the dynamics of domestic investment, a quantified model is built to simulate possible outcomes under different scenarios. According to the results, in 2025, the capacity of Iran's petrochemical productions will range from 73 to 78 million tons. Also, the value of products will range from 26 to 36 million dollars (USD) in 2025 that can be an interesting research area to investigate how the value of diversified petrochemical products can be increased. Finally, through a model-based scenario and policy analysis, some optimised policies are offered to enhance the petrochemical industry of Iran in the future.
Journal: Int. J. of Energy Technology and Policy
Pages: 493-509
Issue: 5/6
Volume: 16
Year: 2020
Keywords: petrochemical industry; system dynamics; capacity expansion; scenario analysis; Iran.
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Handle: RePEc:ids:ijetpo:v:16:y:2020:i:5/6:p:493-509
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Author-Name: Nayak Himanshu Sekhar Ray
Author-X-Name-First: Nayak Himanshu Sekhar
Author-X-Name-Last: Ray
Author-Name: Ramesh Chandra Mohanty
Author-X-Name-First: Ramesh Chandra
Author-X-Name-Last: Mohanty
Author-Name: Mahendra Kumar Mohanty
Author-X-Name-First: Mahendra Kumar
Author-X-Name-Last: Mohanty
Title: Optimisation of energy and exergy parameters of a C.I. engine in dual fuel mode using Taguchi method
Abstract:
In this study, the first and second laws of thermodynamics are applied to analyse the quantity and quality of energy and exergy in a compression ignition (C.I.) engine using diesel and biogas in dual fuel mode. The energy and exergy for the engine have been calculated and analysed by Taguchi method for both modes of operation using MINITAB software. The results show the similar energetic performance of dual fuel mode as that of diesel fuel mode. The exergetic performance parameters also follow the similar trends according to the energetic performance parameters. The analyses are based on energy and exergy distribution of dual fuel mode with the varying load and compared with the corresponding values of diesel mode.
Journal: Int. J. of Energy Technology and Policy
Pages: 510-528
Issue: 5/6
Volume: 16
Year: 2020
Keywords: energy; exergy; Taguchi method; C.I. engine; biogas; diesel; dual fuel; S/N ratio; response curve.
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Handle: RePEc:ids:ijetpo:v:16:y:2020:i:5/6:p:510-528
Template-Type: ReDIF-Article 1.0
Author-Name: Anil Kumar
Author-X-Name-First: Anil
Author-X-Name-Last: Kumar
Author-Name: Naresh Kumar
Author-X-Name-First: Naresh
Author-X-Name-Last: Kumar
Title: Impact of wind power-based DG on nodal prices in distribution system with harmonic load
Abstract:
The competitive electricity market structure is one of the factors to adopt the real time pricing structure for efficient operation of distribution networks. It is the key responsibility of the distribution network operator to determine the real time prices-based tariff structure for smart distribution systems. The prices must take into account the effect of load and must be based on the change in the operating state of the system. In this paper, by using wind power in distribution system and basic forward backward sweep load flow method is used for analysing the affect of harmonics on nodal prices. The method uses marginal loss coefficients (MLCs) to get these prices, the results are compared with realistic ZIP and normal or constant power (CP) loads. The entire study is conducted on IEEE 33 bus radial distribution system (RDS).
Journal: Int. J. of Energy Technology and Policy
Pages: 529-562
Issue: 5/6
Volume: 16
Year: 2020
Keywords: distribution system; load model; harmonic load; nodal prices; wind-based DG.
File-URL: http://www.inderscience.com/link.php?id=109314
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Handle: RePEc:ids:ijetpo:v:16:y:2020:i:5/6:p:529-562
Template-Type: ReDIF-Article 1.0
Author-Name: Suresh Kumar Sudabattula
Author-X-Name-First: Suresh Kumar
Author-X-Name-Last: Sudabattula
Author-Name: M. Kowsalya
Author-X-Name-First: M.
Author-X-Name-Last: Kowsalya
Author-Name: Velamuri Suresh
Author-X-Name-First: Velamuri
Author-X-Name-Last: Suresh
Title: Simultaneous allocation of multiple distributed generators and shunt capacitor banks in radial distribution systems using grasshopper optimisation algorithm
Abstract:
Electricity has become a part of day to day life of the people. With the increase in population, electricity demand is also raised. The development of distribution systems (DSs), the optimal utilisation of shunt capacitor banks (SCBs) and distributed generators (DGs) in the DSs are heightened. In this paper, a methodology is proposed to allocate both DGs and SCBs simultaneously on the DS. The objectives are to minimise power loss, improving the voltage profile and voltage stability index (VSI) of the DS. First locations of DGs and SCBs are found out by loss sensitivity factor (LSF) technique. Next grasshopper optimisation algorithm (GOA) is used to determine the rating of these sources. The methodology is implemented on IEEE 33 and 69 bus test systems considering optimal allocation of multiple DGs without and with placement of capacitors. Finally, the results obtained by the proposed method are compared with GA/PSO and PSO methods.
Journal: Int. J. of Energy Technology and Policy
Pages: 563-586
Issue: 5/6
Volume: 16
Year: 2020
Keywords: distributed generators; DGs; shunt capacitor banks; SCBs; loss sensitivity factor; LSF; grasshopper optimisation algorithm; GOA; power loss; voltage stability index; VSI.
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Handle: RePEc:ids:ijetpo:v:16:y:2020:i:5/6:p:563-586
Template-Type: ReDIF-Article 1.0
Author-Name: Faycel Merad
Author-X-Name-First: Faycel
Author-X-Name-Last: Merad
Author-Name: Hocine Labar
Author-X-Name-First: Hocine
Author-X-Name-Last: Labar
Author-Name: Mounia Samira Kelaiaia
Author-X-Name-First: Mounia Samira
Author-X-Name-Last: Kelaiaia
Author-Name: Okba Djelailia
Author-X-Name-First: Okba
Author-X-Name-Last: Djelailia
Author-Name: Salah Necaibia
Author-X-Name-First: Salah
Author-X-Name-Last: Necaibia
Title: Optimal fuel consumption planning and energy management strategy for a hybrid energy system with pumped storage
Abstract:
Energy management system is very critical for solving the energy problem in remote areas, especially autonomous systems that uses diesel generators. The fuel cost increases due to transport over long distances makes it unsustainable system. for that an optimal sizing of the hybrid microgrid energy system (HMGES) with an energy management control (EMC) strategy was proposed in this work for an isolated site in southern Algeria, which consisting of photovoltaic (PV) source, diesel generator (DG), with a power hydroelectric storage (PHS) system in order to increase the reliability. The HMGES based on renewable energy is profitable for supplying the domestics and agricultural demand. This work evaluates three different standalone systems that used to guarantee the supply of energy for the isolated Saharan zone. The HMGES with EMC system not only decrease the harmful CO<SUB align="right"><SMALL>2</SMALL></SUB> emission due to the less consumption of fuel, but also reduce the system cost comparison with the (DG and PV/DG) standalone systems, which are the objectives function of this study.
Journal: Int. J. of Energy Technology and Policy
Pages: 587-611
Issue: 5/6
Volume: 16
Year: 2020
Keywords: hybrid system; energy management; microgrid; PV system; diesel generator; power hydroelectric storage PHS system.
File-URL: http://www.inderscience.com/link.php?id=109316
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Handle: RePEc:ids:ijetpo:v:16:y:2020:i:5/6:p:587-611
Template-Type: ReDIF-Article 1.0
Author-Name: Sudhakar Ambarapu
Author-X-Name-First: Sudhakar
Author-X-Name-Last: Ambarapu
Author-Name: M. Vijaya Kumar
Author-X-Name-First: M. Vijaya
Author-X-Name-Last: Kumar
Title: Harmonic minimisation in direct torque controlled induction motor using neural network controller
Abstract:
In a conventional direct torque control (DTC) method, hysteresis controllers are used to process the flux and torque errors influencing space voltage vector selection to obtain direct torque control of induction motor resulting in harmonics. The scope of the paper is to apply neural network controller technology for direct torque controlled induction motor drives suitable for high performance application. Then the flux and torque errors are processed through hysteresis controllers along with neural network controllers in order to improve voltage space vector selection strategy and achieve reduction in current harmonics and improve quality of electrical energy. Finally, the Simulink models of direct torque controlled induction motor with and without neural controller are tested in MATLAB/Simulink for different operating conditions with favourable results.
Journal: Int. J. of Energy Technology and Policy
Pages: 612-630
Issue: 5/6
Volume: 16
Year: 2020
Keywords: neural network controller technology; induction motor; hysteresis controller; direct torque control; harmonics in electrical energy.
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Handle: RePEc:ids:ijetpo:v:16:y:2020:i:5/6:p:612-630