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

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

Low carbon transition pathways entail diverse uncertainties and risks in the underlying environmental, social, political, economic and technological factors. Inadequate information about such risks could affect the achievement of climate change mitigation targets negatively. This paper provides a novel experiment in which quantitative tools and stakeholder engagement are combined in order to identify

This study investigates the impact of the double skin facades on the annual cooling energy consumption of buildings in a hot-humid climate. DesignBuilder and EnergyPlus software are utilized as simulation tools to study the airflow and the energy performance of different design scenarios of an office building with a double skin façade in the city of Dubai in the United Arab Emirates. The results are

This study put forward the inequality issues in modern residential energy consumption from both income and spatial viewpoints, with special regard to the Indonesian case. Energy inequality was viewed from the perspective of energy justice in both distribution and recognition. This study employed qualitative analysis with Theil’s, Gini, and mixed-Gini index methods. The energy usage inequalities have

This paper bestows a new swarm intelligence approach, Squirrel Search Algorithm (SSA) to solve Economic Load Dispatch (ELD) of the thermal unit by addressing the valve point loading effects and multiple fuel options. SSA inspires the foraging behavior of squirrels which is based on dynamic jumping and gliding strategies. The main intention of the ELD problem is to minimize the total generation cost

The balancing approach of electricity generation and consumption is an essential part of a reliable power system. The mismatch between supply and demand may also cause fluctuation in the power system. This study proposes an incentive and penalty-based demand response (I&P-DR) program for improving the profitability of both LSE and customers. First, we use a parameter that weighs the financial benefits

This study put forward the inequality issues in modern residential energy consumption from both income and spatial viewpoints, with special regard to the Indonesian case. Energy inequality was viewed from the perspective of energy justice in both distribution and recognition. This study employed qualitative analysis with Theil’s, Gini, and mixed-Gini index methods. The energy usage inequalities have

This study evaluates the techno-economics of replacing an air-source heat pump (ASHP) system with a solar seasonal thermal energy storage (STES) system for space heating in Hangzhou, China. Three heating systems, solar STES, ASHP, and ASHP with short-term storage of solar energy, are developed using TRNSYS for a house with 240 m2 of floor area. The ratio of tank volume to collector area (RVA) of the

This paper investigates the relationship between solar energy production and economic growth for top 10 countries with the highest installed solar energy production capacity as of 2017 (China, the USA, Japan, Germany, Italy, India, the UK, France, Australia, and Spain, respectively) using data over the period 1999–2015. For this purpose, the paper employs panel cointegration and causality methods that

The aim of this paper is to analyze empirically the effect that several kinds of risks, associated with hypothetical oil drillings in the Canary Islands, could have on the behavioral intentions of tourists. A panel survey collected from 639 nonresident tourists about destination image, risk perception, and intention to visit or recommend the islands. The risks associated with the possible oil extractions

ABSTRACT The paper investigates gasoline consumption in case of oil-exporting country applying Time-varying Coefficient Cointegration approach to the data from 1980 to 2017. Empirical estimations show that long-run income and price elasticities are not constant and are responsive to price and income fluctuations in the period considered. The income elasticity of gasoline demand increased until 2014

Brazil is among the largest producers of ethanol and crude oil. Like other emerging countries, Brazil seeks to keep domestic prices for liquid fuels consistent with the international market. To evaluate Brazil’s policy of pricing petroleum products, price controls to curb inflation, and price liberalization (international parity), we analyze causal relations among domestic prices for hydrated ethanol

Since its revolution in 2010, Tunisia has known a drastic decrease of its GDP reaching the lowest level during the two last decades. In this context, this paper examines the relationship between oil prices, GDP and energy consumption for Tunisia over the 1986–2014 period. The error-correction model (VECM) is employed to investigate the dynamic causality relationships among the variables. In the short

The objectives of this study are to provide new insights on (i) the drivers of changes in final energy consumption in Italy over the period from 1995 to 2015 by employing a multi-sectoral decomposition analysis approach – Logarithmic Mean Divisia Index I (LMDI-I); and (ii) the progress of Italy toward the indicative energy efficiency and mandatory energy-saving targets set for 2020. The decomposition

China has established seven pilot carbon markets and has made efforts to establish a national carbon market. This paper constructs an AR-GARCH model and adopts bilaterally modified dummy variables to investigate the impacts of regulatory update events (allowance allocation plans and allowance auctions) on the pilot carbon markets in China. The pilots of Guangdong, Shanghai, and Hubei are chosen as

ABSTRACT The history of concentrating solar power (CSP) is characterized by a boom-bust pattern caused by policy support changes. Following the 2014–2016 bust phase, the combination of Chinese support and several low-cost projects triggered a new boom phase. We investigate the near- to mid-term cost, industry, market and policy outlook for the global CSP sector and show that CSP costs have decreased

Energy performance certificates (EPC) are obligatory for new and existing buildings in all European Union (EU) Member states, and provide not only the characteristics of individual buildings but are also useful for energy management and planning. However, despite the current widespread of EPC analyses in other European countries, the information of national EPC cadastre in Lithuania is hardly adapted

The International Energy Agency (IEA) has proposed an ambitious carbon dioxide emission mitigation scenario with specific recommendations for Latin American and the Caribbean (LAC) countries. However, this mitigation scenario entails significant limitations. The expected electricity production for the region is quite low compared to global average figures. This situation could endanger the sustainable

Lignite has long dominated Greece’s electricity system, boosting economic growth and energy security, given the abundant domestic resources. In line with its national and international commitments to climate action and sustainable development, the country is currently facing the urgent need to transform its energy system, overcome its technological lock-ins, and transition to a low-carbon economy.

This article analyzes the possibility of substantially reducing greenhouse gases (GHG) in the Mexican industrial sector by applying a Low-carbon (LC) scenario, through a period of 25 years, composed by a set of mitigation options that involve the use of energy efficiency, materials recycling, cogeneration and renewable energy. Results reveal that a GHG peak of 226 million tons of equivalent CO2 could

Studies on the benefits of electricity markets integration are scarce. With particular attention to the Romanian day-ahead electricity market (DAM), we analyze electricity prices’ seasonality and volatility and observe whether changes occurred after the 4 M Market Coupling project implementation. The focus lies on assessing the seasonal and cyclical components of DAM prices and coal/wind-based electricity

The study explores the impact of international tourism on consumption-based CO2 emissions in the case of Azerbaijan for the period of 1995–2013. The results of the long-run estimations revealed that the relationship between CO2 emissions and international tourism revenues is N-shaped. This finding also indicates that the EKC hypothesis does not hold in the case of Azerbaijan. The found curvature of

This article provides perspectives on the opportunities and challenges of integrating biomass liquefaction plants (pyrolysis, hydro-pyrolysis, hydrothermal liquefaction, liquefaction in hydrocarbon solvents, etc.) with intermittent renewables such as wind and solar photovoltaic (PV) to provide energy storage and support the development of biofuel production. A techno-economic model is used to assess

This paper examines two unresolved issues regarding the nexus between financial system development and environmental quality. (i) Does the structure of the financial system matter? (ii) Is there a nonlinear relationship? We employ the newly developed dynamic common correlated effect (CCE) and the dynamic panel generalized method of moments (GMM) estimators in order to address potential endogeneity

This paper proposes a novel hybrid strategy based on intelligent approaches to forecast electricity consumptions. The proposed forecasting strategy includes three main steps: (a) the evaluation of a correlation coefficient for socio-economic indicators on electric energy consumptions, (b) the classification of historical and socio-economic indicators using the proposed feature selection method, (c)

This paper highlights the importance of approaching the energy poverty problem considering the income perspective. This approach is based on the economic analysis of the relationship between energy poverty, energy consumption and elements linked to household income. Robust conclusions are presented from the empirical analysis of statistical data to quantify and diagnose the problem of energy poverty

Renewable sources, especially the wind power, are volatile in nature which introduce non-linear uncertainties in wind power forecasting (WPF). These non-linear uncertainties hinder the way for the integration of wind power with the electric power grid. Generally, point forecast methods are used for WPF, which are less reliable as they do not offer any uncertainty-related information. In this study

Housing conditions are addressed by climate policy in retrofitting buildings and by social policy in providing affordable and adequate housing. Aim This paper illustrates intersections between both policy spheres in Austria and argues that disjunct policies undermine efforts at alleviating energy poverty. We identify conditions under which housing in Austria may lead to reduction in carbon emissions

This paper aims to provide an overview of the existing financial instruments and successful schemes focused on facilitating the implementation of energy efficiency-related measures, in the context of addressing the problem of energy poverty, along with its adverse socio-economic effects. To this end, the paper presents the challenges and limitations that are associated with each financial instrument

Growing ecological concerns has led governments to utilize mechanisms such as Renewable Identification Number (RIN) in promoting biofuels as an alternative for fossil fuels. In this paper, a pricing model in a decentralized three-player biofuel supply chain with RIN mechanism is proposed and the interaction among members is analyzed using Stackelberg game. The optimal selling price of biomass, bioethanol

In this paper, we aimed to investigate the relationship between energy consumption and carbon dioxide (CO2) emission quantities. To explain the dependence structure, we employed asymmetric Archimedean copulas and determined the best fitting multi-parameter Archimedean copula based on the λ–function. A goodness-of-fit improvement can be obtained by using concordance invariant and tail dependence preserving

This paper investigates the heterogeneous risk spillovers from crude oil to regional natural gas markets against the background of the North American shale gas revolution. The market risks are measured by the upside and downside VaR. We first confirm the existence of risk spillovers between oil and gas markets by using Granger causality in risk. Then, we employ the MVMQ-CAViaR model to reveal the tail-dependence

Energy poverty is significantly correlated with various health measures. This study investigates the links between energy poverty and health outcomes in Turkey. A nationally representative household survey is employed to provide empirical evidence for the relationship between a health status index and a self-reported energy poverty indicator. Multi-level model estimation results imply that energy poverty

In this study, a novel artificial neural network (ANN)-Jaya algorithm hybrid artificial intelligence model was developed to estimate Turkey’s future energy use. The model estimates energy consumption based on gross domestic product (GDP), population, import data, and export data. The Jaya algorithm used in our model’s development is a simple and powerful metaheuristic algorithm that overcomes the complexity

This paper empirically analyzes the relationship between oil and non-oil commodity prices and China’s PPI and CPI. I show that the influences of oil and non-oil commodity price shocks on China’s PPI and CPI are not totally the same, and are crucially connected with the underlying causes of price changes. Specifically, for oil prices, I find aggregate demand and specific demand shocks have significant

This article analyses the technical and economic aspects relating to the application of thermoelectric generators in waste heat recovery. It is explained why material cost reductions are unlikely to result in significant reductions in overall device cost. The difficulties associated with manufacturing modules that can withstand high temperatures are shown to result in high cost to power ratios, despite

Energy poverty is a widespread problem across Europe with serious socioeconomic, environmental, political and health implications. The primary contributing factors are related to low-income levels, high energy prices, and energy inefficient housing. However, household characteristics, political, and social circumstances, and other drivers such as severe weather conditions also play a vital role. Due

Energy sector decarbonization to limit the temperature rise to well-below 2°C will result in stranded assets and capital stock replacement before its technical lifetime ends. In this paper, stranded assets in the global power sector are quantified based on a simplified bottom-up analysis that considers the capital stock turnover of fossil fuel-fired power plants in the G20 countries between 2015 and

Twelve years after the first significant discovery in the pre-salt layer, pre-salt fields represent about 55% of Brazil’s oil production. Following an economic recession, an increase in the country credit risk, and the 2014 oil price collapse, we analyze the production of petroleum in the pre-salt zones by identifying: the break-even price (BEP), and the effect of oil price, price volatility, productivity

This paper presents a model based on the rough sets theory for the prediction of a feed pump failure on a steam block of thermal power plant. There are many parameters that can cause pump failure, and this model enables extraction of the most significant ones. Model creation is based on the empirical data collected during the operation of thermal power plant, which is a part of the largest system for

This study analyzed the effect of the shale boom on the olefin industries. We investigated the paths by which US natural gas prices are transferred to ethylene and propylene prices and identified the price determinants based on the supply and demand conditions of each commodity’s market. By comparing with the Japanese markets, the understanding of the supply structure of the ethylene and propylene

In many countries, especially those that produce petrol, electricity consumption is often subsidized. This policy leads to very low electricity costs and precludes the widespread use of solar water heaters, which have proven to be economically viable and are extensively utilized in other countries. Herein, we propose a new demand-side planning methodology to deal with such cases and perform an experimental

Many companies are developing small modular reactors (SMR), but only few are in a licensing or demonstration phase. Several papers have studied the economy of the SMRs, but district heating studies were carried out without a reference energy system that has a high impact on the results. We modeled NuScale CHP and DHR-400 (heat only) units as a part of a city-level district heating and cooling grid

Turkey is currently in the process of restructuring and liberalization of its natural gas market. However, Turkish Petroleum Pipeline Corporation’s (BOTAS) monopoly of more than 80% of natural gas imports, and ranging subsidized gas prices from the beginning, mainly for power generators but also for households and the industry, are among the factors preventing the formation of a fully competitive and

This paper focuses on a new method of converting multidimensional time series into complex networks. Compared with the previous studies, this method puts different variables into the same high-dimensional system, not only can study the properties of individual variables but also can investigate the correlation between different variables and its dynamic evolution process. Taking the monthly crude oil

This study proposes a new optimization technique to estimate the Transportation Energy Demand (TED) employing the Flower Pollination Algorithm (FPA). The TED estimation models were developed based on three parameters, which are Annual Vehicle-Km (AVK), Gross Domestic Product per Capita (GDPperC), and Carbon-dioxide (CO2) emission according to the linear, power and quadratic forms. These three parameters

This study examines the dynamic linkages between alternative and nuclear energy consumption, tourism receipts, bank-specific factors, and environment and resource factors in a heterogeneous panel of countries for the period 1995–2016. The study also addresses the United Nations sustainable development agenda under a resource conservation framework across countries. A two-step differenced Generalized

In this paper, we employ multi-region input–output model to investigate China’s embodied energy trade in 1995–2009, and then we use hypothetical extraction method to explore the effect of Chinese foreign trade on the other countries or regions of the world after extracting the trade volume between China and the world. We find that China was a net export country of embodied energy, and there was pronounced

The main objectives in the management of energy systems are to reduce the operation costs and simultaneously increase the reliability indices. The achievement of these aims is among the key challenges that network operators encounter. To overcome this challenge, the current study presents a model in which the reliability criterion is calculated in addition to the well-established technical constraints

Engineer–procure–construct (EPC) projects in the renewable energy field have attracted considerable attention and have become a hot spot of investment because of their management advantages and supportive policies. However, the investment value of EPC projects is difficult to evaluate when considering the uncertainty factors and non-preciseness of input data, which are often neglected by traditional

This study estimates the influence of income, electricity price, oil price, urbanization, and Asian economic crisis to electricity demands in residential, industrial, and commercial sectors of Indonesia using autoregressive distributed lag (ARDL) method. Our estimations reveal that electricity demands in all sectors during the period of 1969–2015 are significantly affected by income and urbanization

Promoting innovative renewable sources and reinforcing the wind energy market will contribute to preservation of the ecosystem by reducing emissions at global and local levels. The topic of the present paper is the analysis of the legal framework required for wind energy use in the Republic of Serbia. The paper discusses the harmonization of the domestic legislation with the global and European trends

Is lithium affecting the US oil and gas industry strategies? Lithium has an increasingly strategic role as clean technologies emerge, affecting the strategies of oil and gas companies in response to energy trends. This paper contributes to this literature, studying the dynamics of lithium industry and mergers and acquisitions in the US oil and gas industry in time–frequency domain. Methodologies based

In this article, we respond to a number of points raised by Dominik Smyrgała in his recent piece “Fukushima and Energiewende.” We believe his piece, although timely and taking on an important topic, suffers from three important issues. Smyrgała makes selective use of statistical data and opinions, and bends some facts and the spirit of certain documents to fit his thesis. Lastly, the question he asks

The current study is an empirical investigation of causal linkages between energy investment and economic growth in China. It employs the “second generation” common correlated effects mean group (CCEMG) estimator, to overcome cross-sectional dependence issue, for 31 Chinese provinces and cities covering time span 2001–2016. This study extends its contribution by augmenting the economic growth model

Gasification is a thermochemical process which can be used as a low-emission and highly efficient method to produce syngas and chemicals such as biomethanol and dimethyl ether (DME). In this paper, a review of technologies and methods for economic production of chemicals through gasification of biomass and other fuels has been carried out. A variety of techno-economic studies and analysis have been

The unreliability of electricity supplies is a major cause of the high cost of manufacturing in developing countries. In this paper, we propose a more accurate approach, the contribution method, to measure the cost imposed by power outages. We employ a rich, if not unique, set of data from the detailed operating accounts of three large manufacturing enterprises in Nepal. Estimating the true opportunity

The importance of crude oil in the world economy has made it imperative for efficient models to be designed for predicting future prices. This paper proposes an alternative approach based on a time series and biogeography-based optimization (BMMR–BBO) for the estimation of the West Texas Intermediate (WTI) crude oil price. To evaluate the forecasting ability of the presented model, we compared its

Traditional investment institutions lack the technical understanding of the essence of energy efficiency investments. This often creates a lack of trust to such investments, which acts as a barrier to including energy efficiency projects in the investment portfolio, even though such investments are often robust and have a guaranteed return. Mainstreaming energy efficiency finance remains still a challenge