ABSTRACT This paper proposes a new algorithm, known as Refraction based Whale Optimization Algorithm (RWOA), for providing optimal solutions to the Combined Economic Emission Dispatch problem based on the production of an optimum solar energy system. It validates the robustness of the proposed algorithm in Hybrid Renewable Energy Systems (HRES). To control the emission and economic cost, it is necessary

ABSTRACT This study examines the causal link between foreign direct investment inflows, ecological footprint, and economic growth using panel estimators from five Southeast Asian countries from 1990 to 2017. Results show that technological innovation, ecological footprint, and FDI inflows all have a positive impact on economic growth. Technological innovation and economic growth are both significant

ABSTRACT Significant increments of energy demand and the need to decarbonize the existing energy systems motivate policymakers to utilize renewable energy resources. Accordingly, this paper suggests a hybrid electricity generation system that operates with wind and municipal solid waste biomass to generate monotonous currents and protect the environment by using a portion of the urban wastes. To select

ABSTRACT This study evaluates the productivity of energy efficiency (EE) measures taken at the regional level employing a set of non-parametric statistical methods. The first aspect is investigating the impact of various energy efficiency measures. A high proportion of the population lives in apartment buildings, with limited opportunities to manage their own energy efficiency. The second research

ABSTRACT This study analyzes the implementation of modular petroleum mini-refineries, testing the hypothesis that these facilities can be a feasible choice in countries where fuel demand is expected to increase, whereas uncertainties still last in the long-term fuel market. A simplified optimization model was developed and applied to compare conventional and modular mini-refineries under different

ABSTRACT Measuring the size of the informal diesel market is important for determining tax revenue losses and identifying inefficiencies in tax policies. The conventional ways of assessing the informal sector entail either not allowing the measurement of the size of the informal sector across time or assuming a stable relationship between diesel consumption and a set of economic variables. This study

ABSTRACT Given the serious imbalance between supply and demand for domestic oil resources, it is essential to accurately identify and measure the potential problems associated with oil imports to mitigate the negative influence of oil import uncertainty on China’s energy security. This paper designs a comprehensive assessment index framework based on the dimensions of the supply chain and establishes

ABSTRACT Since the adoption of green energy technologies (GETs) is an essential step toward a sustainable future, it prompts global researchers to examine the dimensions influencing the consumers’ willingness to buy GETs. This work investigates the pushing and inhibiting influence dimensions of consumers’ willingness to buy GETs in a green perceived value framework. A partial least square approach

ABSTRACT This study examined the inequality of household electricity consumption in Taiwan over 1981–2017. The concentration index results indicated that richer households consume more electricity use per capita than poorer households, while the Kakwani index results revealed that the regressivity of electricity expenditure with respect to income distribution gradually intensified. Household size,

ABSTRACT Venezuela’s oil-dependent economy is severely affected by geopolitical instability, causing hyperinflation and devaluation of the national currency. Therefore, this study intends to examine the nexus among geopolitics, exchange rate, and oil prices by employing the Wavelet analysis for a sample ranging from 2008 to 2019. The results reveal that oil prices and exchange rates have a bidirectional

ABSTRACT The development of regional industry in China has become one of the significant factors affecting energy efficiency. This paper combined the industry agglomeration theory and the improved Stochastic Impacts model to explore the impact mechanism of producer service industry agglomeration on energy efficiency. We applied spatial econometric model to estimate the spatial effects of the agglomeration

ABSTRACT Ireland has a renewable heat sectoral target of 600,000 heat pumps by 2030 with currently just 44,000 installed. Such a high heat pump target will have a significant effect on electricity demand and on the management and operation of the electricity grid. Many studies rely on synthetic data to estimate the impact of the adoption of low carbon technologies. This paper explores residential electricity

ABSTRACT This article draws lessons from experiences of developing the photovoltaic (PV) and onshore wind power sectors in China for the development of Chinese Concentrated Solar Power (CSP) into an internationally competitive industry. We analyze the sectoral development with a framework that expands on the concept of lead markets, identifying factors that determine whether domestic industrial development

ABSTRACT Several countries face the challenge of reducing the intermittency of solar photovoltaic generation due to changes in climatic conditions. Considering that Brazil has continental-scale dimensions and diverse geography, an alternative that allows the smoothing of the intermittency of solar photovoltaic generation is needed. The novelty of this study is the proposal to efficiently allocate the

ABSTRACT This manuscript proposes a novel metaheuristic, which is an amalgamation of the quantum concept and the gravitational search particle swarm optimization technique. The inclusion of quantum concepts in the algorithm enhances its capability, as in quantum space there is no restriction on the movement of particle and the solution can be obtained with smaller population and faster convergence

ABSTRACT With many offshore wind turbines (OWTs) approaching the end of their estimated service life, there is an increasing demand for developing and evaluating end-of-life strategies that can maximize these assets’ value while at the same time satisfying the requirements of the stakeholders involved. This study aims to perform a detailed review and develop a framework that will consider multiple

ABSTRACT A correlation analysis based on Markowitz Portfolio Theory and data from meteorological station are used to develop a decision-making tool for the optimal spatial installation of renewable energy sources from Wind turbines and PV panels. A case study involving power generation plants and weather stations in the region of Tuscany in Italy is developed. The results show that temporal correlations

ABSTRACT The transition toward more efficient and sustainable energy systems relies on the introduction by firms of innovations aimed at reducing the energy-environmental impact. In this paper, controlling for firms’ technological capabilities and taking into account the role of specific policy instruments, demand-pull factors and firms’ cost-saving needs, we carry out an in-depth analysis of the drivers

ABSTRACT Optimal power flow solutions are required for the cost-effective operation and control of an existing power system as well as for its future expansion planning. In this paper, a hybrid meta-heuristic Jaya-Powell’s Pattern Search method is proposed to solve the optimal power flow problem integrated with distributed generating units. Powell’s Pattern Search method has been incorporated into

ABSTRACT The article provides a widened understanding of the concept of end-user flexibility and nuances the traditional individual-oriented approach often used in discussions on low carbon transitions. The authors draw on 75 narratives from of a group of end users that is often considered to be in a very flexible stage of life, namely students. They discuss the co-production of systems connected to

ABSTRACT The progressive regulatory moves in the competitive energy market have encouraged market participants to invest more in the green energy sector worldwide. The unpredictability of renewable energy sources has caused the long-term energy market to dominate, despite many demerits. Studies show that long-term contracts are economically inefficient due to forecasting errors. These cause higher

ABSTRACT This paper proposes an index-based analytical framework to quantify the quality of electricity supplied in a specific location. Four quality defining indicators: day and night supply hours, evening supply hours, normal voltage hours, and frequency of power cut were selected to form a composite quality index. The study consists of ten sample rural villages and four capital cities across four

(2021). Special issue of International Conference on Economics, Energy and Environment (ICEEE’2020) Energy Sources, Part B: Economics, Planning, and Policy: Vol. 16, Special Issue on International Conference on Economics, Energy and Environment (ICEEE’2020), pp. 301-302.

ABSTRACT Despite various initiatives from the government, merely two per cent of Malaysia’s electricity is produced by renewable energy sources including solar panels. Currently, little is known about the predictors for households’ behavioral intention of utilizing solar photovoltaic systems in Malaysia. Thus, this study aims to investigate the role of knowledge and price value in affecting the adoption

ABSTRACT The localization process seeks to ensure that the production of particular components occurs from local companies, thus restricting manufacturing to local firms. Solar Photovoltaic (PV) panels localization can stimulate regional economic development in coal phase-out regions. This paper uses the Jobs and Economic Development Impact (JEDI) model to assess the economic impact of enhanced solar

ABSTRACT Recent evidence points to global warming and climate change as the biggest issues of the century; thus, the analysis of the weather-commodity futures prices relationship has crucial importance. This paper considers the relationship between weather anomalies, proxied by the Global Historical Surface Temperature Anomalies (HadCRUT4), and futures prices of agricultural products, energy commodities

ABSTRACT Importance of ethanol as a fuel has ever been increasing owing to its contribution to energy security, and carbon footprint reduction. India launched its ethanol fuel blending program in 2003 but the progress has lagged the targets despite various efforts. This study analyses the demand-supply gap in ethanol industry along with Government’s initiatives such as tax reforms, import policies

ABSTRACT Solar energy rollout has environmental and socio-economic impacts vital for just low-carbon energy transitions. The modular characteristics of solar photovoltaics enable multi-scalar deployment. How do environmental and socio-economic impacts vary across scales? This understudied relationship impacts the socio-spatiality of solar rollout, who benefits, and how this is enabled. Our study in

ABSTRACT This paper examines the impact of oil resources endowment, measured by proven reserves and oil rents, on the economic growth in the presence of quality of governance factors. To address this issue, we first summarize the previous research by reviewing, from the economic literature, the main explanations of what many regard as ‘curse’ of petroleum resource and, in a larger context, evoke the

ABSTRACT In this article, we provide a structured review of crude oil price dynamics. Specifically, we summarize evidence on important factors determining oil prices, cover the impact of oil market shocks on the macro economy and the stock market, discuss how the financialization of crude oil markets affects oil market functionality and efficiency, and we then outline approaches for forecasting crude

ABSTRACT The paper presents a novel method of generating metamodels that can quantify the influence of urban form on the heating and cooling loads of dwellings for the Mediterranean climate. The goal of the metamodels is to inform the early urban design process with quick and accurate feedback on the energy demand of a given urban configuration. The proposed method generates training datasets through

ABSTRACT This study investigates the impacts of integrating electrical vehicles to pilot distribution grids in Turkey to quantify technical concerns and solutions for the year 2030. Different charging loads that discern home, workplace and public charging are considered under two different cases; “home-charging-support” and “public-charging-support.” Random variables describing arrival time of electrical

ABSTRACT This paper analyzes the impact of climate change on Turkey’s residential, industrial and commercial electricity demand by applying the Structural Time Series Model. The model consists of explanatory variables and uses annual time series data for the period from 1980 to 2017. The variables included are electricity price, income per capita, urbanization rate, manufacturing added value, population-weighted

ABSTRACT Residential electrical peak demand has attracted much attention as this demand is unpredictable. Several approaches have been used in the literature to analyze residential electrical demand. However, no previous studies have considered the energy cultures framework (ECF) to assess residential peak demand. This study investigates the applicability of ECF in accounting for residential demand

ABSTRACT It is a fact that energy saving depends not only on countries’ environmental policies but also on citizens’ ways of responding to these actions. This indicates the need to thoroughly investigate how households’ attitudes are shaped to understand the driving factors enhancing pro-environmental attitudes. However, it is also important to understand how people judge countries’ environmental performances

ABSTRACT This study aims to evaluate the sustainable energy performance of 36 OECD (Organization for Economic Cooperation and Development) countries. The sustainable energy performance evaluation of the countries was made with linear programming-based “DEA (Data Envelopment Analysis)” and multi-criteria decision-making-based “PROMETHEE (The Preference Ranking Organization Method for Enrichment Evaluation)”

ABSTRACT This study uses a spatial Durbin error model (SDEM) approach to analyze adoption trends for residential energy-efficiency measures (EEMs) in New York state. Model results are based on socioeconomic, building, and household demographic characteristics during the 2012–2016 period. Our study’s results confirm that a positive correlation exists between EEM uptake and multifamily buildings, gas-heated

(2021). Dispatchable RES and flexibility in high RES penetration scenarios: solutions for further deployment. Energy Sources, Part B: Economics, Planning, and Policy: Vol. 16, Dispatchable RES and flexibility in high RES penetration scenarios: solutions for further deployment, pp. 1-3.

ABSTRACT The use of the European Union cooperation mechanisms for concentrated solar power (CSP) projects could kill two birds with one stone. First, CSP electricity can cover demand when variable renewables cannot generate. Second, CSP projects deployed under the cooperation mechanisms could contribute to a European-wide optimization of resource use and grid management. This paper analyzes whether

ABSTRACT Accurate electricity consumption forecasting (ECF) is challenging due to its complexity, and it is more challenging for a provincial ECF in China when it comes to the great heterogeneity among provinces. To depict and predict electricity consumption, a new framework, the panel quantile regression neural network (PQRNN), is developed by adding an artificial neural network structure to a panel

ABSTRACT The EKC literature has ignored the importance of natural resources on environmental degradation. Thus, this paper aims to investigate the impact of renewable energy consumption and the abundance of natural resources on CO2 emissions for a panel of 82 countries by using quantile regressions. Empirical results show that renewable energy consumption reduces CO2 emissions and its effect increases

ABSTRACT The need to accelerate the decarbonization of heating, as well as the rise of the ‘smart home’, mean that there is an increasing focus on the role of innovative consumer offerings in driving the shift to zero carbon domestic heating. In this context, Heat as a Service (HaaS) business models, which provide consumers with an agreed heating plan rather than simply paying for units of fuel, are

ABSTRACT In this study, a hybrid method based on extreme learning machine (ELM) method and artificial bee colony (ABC) algorithm was proposed to forecast small hydropower plant generations. The input weights and biases of ELM were optimized by ABC algorithm to achieve more accurate forecasting results. The forecasting performance of the proposed method was compared with benchmark methods, namely b

ABSTRACT This paper examines the marginal welfare gain of adopting higher energy efficiency after another efficiency measure has already been installed. For example, how does installing stringent thermal insulation influence energy efficiency investment decisions thereafter? A mathematical model that embeds a welfare-maximizing household in a building energy model is employed. Four archetypical households

ABSTRACT The critical peak hour problem is a fundamental issue for utility managers and policymakers. We address this issue by analyzing unique data from an involuntary load curtailment program, in which a group of households agreed to reduce the peak power consumption below the agreed load shedding limit. There are two types of results presented in the paper. Firstly, we show that residential customers

ABSTRACT The critical peak hour problem is a fundamental issue for utility managers and policymakers. We address this issue by analyzing unique data from an involuntary load curtailment program, in which a group of households agreed to reduce the peak power consumption below the agreed load shedding limit. There are two types of results presented in the paper. Firstly, we show that residential customers

ABSTRACT This paper examines the marginal welfare gain of adopting higher energy efficiency after another efficiency measure has already been installed. For example, how does installing stringent thermal insulation influence energy efficiency investment decisions thereafter? A mathematical model that embeds a welfare-maximizing household in a building energy model is employed. Four archetypical households

ABSTRACT This study investigates the relationship between Information and Communication Technology (ICT) penetration, electricity consumption, economic growth, and environmental pollution within a multivariate framework. A panel of 16 EU countries was analyzed over the 1990–2017 period. The results of the Dumitrescu-Hurlin panel causality tests reveal the existence of a one-way causality running from

ABSTRACT Iran is considered one of the most polluted countries in the world, where major cities have consistently dealt with severe air pollution in recent decades. Fossil fuels account for a considerable portion of greenhouse gas (GHG) emissions in urban areas of Iran. Biofuels have been touted as an effective means of reducing urban air pollution. Since biofuels are largely compatible with the vehicles

ABSTRACT Iran is considered one of the most polluted countries in the world, where major cities have consistently dealt with severe air pollution in recent decades. Fossil fuels account for a considerable portion of greenhouse gas (GHG) emissions in urban areas of Iran. Biofuels have been touted as an effective means of reducing urban air pollution. Since biofuels are largely compatible with the vehicles

ABSTRACT Sustainable electricity systems need renewable and dispatchable energy sources. Solar energy is an abundant source of renewable energy globally which is, though, by nature only available during the day, and especially in clear weather conditions. We compare three technology configurations able to provide dispatchable solar power at times without sunshine: Photovoltaics (PV) combined with battery

ABSTRACT The purpose of this study is to examine the validity of the EKC hypothesis for Tunisia for the period from 1965 to 2013 by using the CO2 emissions and the Ecological footprint as proxies for environmental degradation, with the latter being considered in the literature as a more inclusive indicator. The findings of the estimation stipulate a U – shaped curb between CO2 emissions and real per

(2020). Editorial of special issue on transdisciplinary science in energy transitions: thinking outside strictly formalized modeling boxes. Energy Sources, Part B: Economics, Planning, and Policy: Vol. 15, Transdisciplinary science in energy transitions: thinking outside strictly formalised modelling boxes, pp. 453-454.

ABSTRACT This study performs a model-based multiple-criteria decision analysis (MCDA) for supporting policy makers in Greece, in designing energy-efficiency policies through the selection of the most effective measures, towards sustainable development. The impact assessment of energy-efficiency measures is based on their macroeconomic, environmental and social implications. Such an evaluation of a

ABSTRACT This work presents a generic optimization framework (ANNEX model), including three alternative algorithms for the electricity market-clearing process in order to optimally determine the annual energy mix of a power system. The effectiveness of the ANNEX model has been tested on an illustrative case study of the Bulgarian power system to investigate the impacts of each market design on the

ABSTRACT The optimal integration of renewable-based distributed generations (DGs) in distribution system offers several techno-economic and environmental benefits. The demand response (DR) can further augment the benefits associated with DGs. This paper investigates the impact of DR on joint allocation of wind-based and solar-based DGs in distribution system. The integration of renewable-based DGs

ABSTRACT Heating, ventilation and air conditioning (HVAC) systems play an essential role in demand response (DR) programs. In this paper, a fuzzy controller is designed to adjust the HVAC set-points optimally. The aims of the designed controller are multifold: to save energy, to improve user’s comfort, and reduce HVAC electricity costs. In the current research, indices such as daily energy cost, minimum

ABSTRACT This study aspires to reveal the background of the penetration of solar thermal technologies and to overview the past and present of solar thermal systems as well as their potential and the market in the Baltic States. In this study a review of the solar energy potential and the market in Baltic states is conducted. The study presents the types of solar thermal systems, their cost, the progress

ABSTRACT This paper examines the stationary properties of the electricity consumption of five main sectors (residential, public services, industrial, agricultural, and street lighting) in Iran over the period 1967–2017. To analyze the data, we apply the Lagrange Multiplier (LM) and GARCH-based unit root tests with structural breaks. The results of our study provide strong evidence that electricity

ABSTRACT We investigate whether political ideology has an observable effect on decarbonization ambition, renewable power aims, and preferences for power system balancing technologies in four European countries. Based on the Energy Logics framework, we identify ideologically different transition strategies (state-centered, market-centered, grassroots-centered) contained in government policies and opposition