Matteo Palucci , Jalomi Maayan Tardif , Vasco Medici , Giovanni Sansavini
{"title":"Modeling the co-adoption dynamics of PV and heat pumps in Swiss residential buildings: Implications for policy and sustainability goals","authors":"Matteo Palucci , Jalomi Maayan Tardif , Vasco Medici , Giovanni Sansavini","doi":"10.1016/j.esr.2024.101573","DOIUrl":"10.1016/j.esr.2024.101573","url":null,"abstract":"<div><div>The Swiss energy system is facing a paradigm shift as it strives to achieve net-zero greenhouse gas emissions, as well as phase out nuclear electricity production. This entails significant changes in the country’s energy landscape, including increased adoption of renewable energy technologies in the residential sector. To facilitate informed decision-making and planning by policymakers, this study introduces a system-dynamics model for the long-term adoption of solar photovoltaic (PV) and heat pump (HP) technologies in Swiss residential buildings. Unlike conventional approaches, this framework considers the feedback loops and correlations between PV and HP adoption, while also accounting for building heterogeneity. Through scenario analyses, the model evaluates the impact of regulatory and financial policy interventions on the transition of the residential energy system. The results highlight the significant influence of policy measures on technology deployment rates, energy demand, and greenhouse gas emissions. They demonstrate that slight adjustments in current policy and regulatory framework could allow to safely reach PV deployment targets, but strong modifications are necessary to completely decarbonize the residential sector. This study contributes to advancing our understanding of the complex dynamics shaping residential energy transitions and offers valuable insights to support the formulation and implementation of effective energy strategies.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"56 ","pages":"Article 101573"},"PeriodicalIF":7.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142578435","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Concurrent challenges in practical operations and modeling of geological carbon-dioxide sequestration: Review of the Gorgon project and FluidFlower benchmark study","authors":"Ruud Weijermars","doi":"10.1016/j.esr.2024.101586","DOIUrl":"10.1016/j.esr.2024.101586","url":null,"abstract":"<div><div>This study aims to serve as a reality check on whether the present-day (1) technology readiness level, and (2) storage capacity modeling, are adequate to claim that geological carbon-dioxide sequestration (GCS) projects are on a trajectory to help save the world from becoming a boiling greenhouse. The storage of CO<sub>2</sub> in subsurface formations is technically feasible, but serious challenges still arise when large quantities of CO<sub>2</sub> are injected. For example, important lessons can be gleaned from the world's largest CO<sub>2</sub>-sequestration project at the Gorgon Field (Australia), which has run into a series of technical setbacks and now is over a decade behind schedule. Similarly, modeling of CO<sub>2</sub>-fluid migration in the subsurface, which is at the basis of any practical GCS-project design-solution, remains challenging, as appears from careful analysis of a recent benchmark study effort by nine of the world's leading modeling groups. The limited transferability of FluidFlower modeling benchmark results and the technical challenges encountered in the Gorgon GCS project are highlighted. From the analysis, concurrent bottlenecks in technical operations and modeling capacity are identified, and suggestions are made for possible pathways to overcome these challenges.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"56 ","pages":"Article 101586"},"PeriodicalIF":7.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142655600","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Tying energy resiliance and digital upgradation of technology transformation of electric power system: Does financial flexibility matters?","authors":"Zhi Liu , Ronghui Zhou , Zhang Jhang","doi":"10.1016/j.esr.2024.101555","DOIUrl":"10.1016/j.esr.2024.101555","url":null,"abstract":"<div><div>As the energy sector undergoes rapid technological transformation, the resilience of electric power systems has become a focal point in the context of climate change and energy security. This paper examines the interplay between energy resilience and the digital upgradation of electric power systems in China, with a particular emphasis on the role of financial flexibility. Using panel data from 2005 to 2023 across 30 provinces in China, we employ the Generalized Method of Moments (GMM) model to investigate how financial flexibility—measured through capital access and adaptive financial strategies—affects the integration of digital technologies such as smart grids, renewable energy systems, and advanced monitoring infrastructures. Our findings demonstrate that financial flexibility significantly enhances the resilience of electric power systems by facilitating quicker adoption of digital technologies and enabling systems to better withstand external shocks, such as fluctuating energy demands and environmental stressors. The study offers policy insights, underscoring the importance of supportive financial mechanisms to accelerate the digital transformation and sustainability of China's energy infrastructure. This research contributes to the ongoing discourse on energy resilience by highlighting the critical role of financial flexibility in enabling technological advancements within the power sector.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"56 ","pages":"Article 101555"},"PeriodicalIF":7.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142578434","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Forecasting the volatility of crude oil futures: New evidence from jump-induced volatility","authors":"Anupam Dutta , Elie Bouri","doi":"10.1016/j.esr.2024.101588","DOIUrl":"10.1016/j.esr.2024.101588","url":null,"abstract":"<div><div>This paper proposes an augmented heterogenous autoregressive (HAR) model with time-varying jumps to forecast the realized volatility (RV) of crude oil futures. Jump-induced volatility of crude oil futures is obtained from a GARCH-jump process, then used to augment the HAR model. The results based on both the in-sample and out-of-sample analyses suggest that jumps offer added information for forecasting the RV of crude oil futures, surpassing the incremental information contained in the crude oil implied volatility index (OVX). Various robustness tests confirm these findings. Our findings have key implications for energy market investors, risk managers, and policymakers.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"56 ","pages":"Article 101588"},"PeriodicalIF":7.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142655397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Magda I. El-Afifi , Bishoy E. Sedhom , Abdelfattah A. Eladl , Sanjeevikumar Padmanaban
{"title":"Survey of technologies, techniques, and applications for big data analytics in smart energy hub","authors":"Magda I. El-Afifi , Bishoy E. Sedhom , Abdelfattah A. Eladl , Sanjeevikumar Padmanaban","doi":"10.1016/j.esr.2024.101582","DOIUrl":"10.1016/j.esr.2024.101582","url":null,"abstract":"<div><div>The combination of energy hubs with advanced information and communication technology has resulted in the creation of an intelligent system referred to as a smart energy hub (SEH). The implementation of the SEH has facilitated the enhancement of the entire energy distribution system by enabling a two-way exchange of energy and information between utility providers and consumers. This has resulted in a system that is secure, efficient, and dependable. The significance and visibility of big data in the SEH are evident as a result of the growing accumulation of data quantities. A wide range of equipment and software work together to collect and use energy data. This includes tools used by both energy providers and customers, like smart meters, software for billing, and various monitoring and control systems. Additionally, sensors, computers, and communication networks play a crucial role in collecting and transmitting this data across the energy grid. Hence, big data plays a crucial role in the development of an enhanced SEH. This paper presents an introduction to the notion of SEH and its associated concepts, as well as the function of big data in the context of SEH. It also discusses the obstacles that big data encounters in the SEH domain and explores the potential opportunities that big data offers for SEH.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"56 ","pages":"Article 101582"},"PeriodicalIF":7.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142561302","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An analysis of the rebound impact of energy consumption and the factors that influence it in China's agricultural productivity","authors":"Yanyan Yin , Fatima Gulzar , Zokir Mamadiyarov , Assilova Aizhan , Ravi Shankar Yadav , Chang Chen","doi":"10.1016/j.esr.2024.101585","DOIUrl":"10.1016/j.esr.2024.101585","url":null,"abstract":"<div><div>With China's agricultural sector being a major contributor to both the national economy and energy consumption, the rebound effect—the phenomenon where energy efficiency improvements lead to increased energy use—poses significant challenges to sustainable energy use. The motivation for this study stems from the need to understand the extent of this rebound impact and its underlying drivers, particularly in the context of China's agricultural modernization efforts. This study examines the rebound effect of energy consumption in China's agricultural productivity and the factors influencing it over the period from 1990 to 2023. Using a Generalized Method of Moments (GMM) model, this research analyzes the relationship between energy consumption, agricultural productivity, and several influencing factors, including technological innovation, rural-urban migration, and financial development. The results reveal that (1) energy efficiency improvements have led to a significant rebound effect in China's agricultural sector, limiting potential energy savings, (2) technological advancements have mitigated the rebound effect to some extent, but the effect remains substantial, (3) rural-urban migration has contributed to labor shortages, increasing mechanization and energy demand, and (4) financial development has positively influenced both agricultural productivity and energy use, exacerbating the rebound effect. The study suggests that policymakers should focus on developing stricter energy efficiency standards and promoting technological innovations that reduce energy intensity in agriculture, while also addressing labor migration challenges to curb the rebound impact and achieve more sustainable agricultural growth.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"56 ","pages":"Article 101585"},"PeriodicalIF":7.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142593856","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Katharina Esterl , Carlos Andrés Epia Realpe , Ulf Philipp Müller
{"title":"Avoiding false inter-zonal meshing in the clustering of a large-scale German power grid","authors":"Katharina Esterl , Carlos Andrés Epia Realpe , Ulf Philipp Müller","doi":"10.1016/j.esr.2024.101569","DOIUrl":"10.1016/j.esr.2024.101569","url":null,"abstract":"<div><div>The ongoing transformation towards a sector-coupled energy system based on renewable generation leads to more complex grid-based energy system models. It is a crucial task to reduce the models’ complexities in order to keep optimisation problems tractable while at the same time generating appropriate results. This work adds a <em>Dijkstra’s algorithm</em> to a commonly used <em>k-means Clustering</em> method to reduce the spatial complexity of a German transmission and sub-transmission grid model. The novel approach leads to more accurate results while reaching faster calculation times. In particular, it successfully avoids false inter-zonal meshing. Consequently, the more accurate modelling of inter-cluster connections results in up to 41% higher grid expansion needs and significantly changed spatial allocations of network and storage expansion. Where geographical or political borders (e.g. the former inner-German border) have led to scarcely interconnected grid topologies (especially on the sub-transmission grid level), the impact is particularly high. The presented work follows open-source and open-data principles.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"56 ","pages":"Article 101569"},"PeriodicalIF":7.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142655395","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Muhammad Khalid Anser , Sajid Ali , Muhammad Umair , Rubab Javid , Sanjar Mirzaliev
{"title":"Energy consumption, technological innovation, and economic growth in BRICS: A GMM panel VAR framework analysis","authors":"Muhammad Khalid Anser , Sajid Ali , Muhammad Umair , Rubab Javid , Sanjar Mirzaliev","doi":"10.1016/j.esr.2024.101587","DOIUrl":"10.1016/j.esr.2024.101587","url":null,"abstract":"<div><div>The growing interdependence between environmental resources, financial development, technological advancements, and energy consumption poses significant challenges for sustainable growth in emerging economies. This study investigates these dynamics in the BRICS nations (Brazil, Russia, India, China, and South Africa) from 1990 to 2023 using the GMM panel VAR framework, with the aim of understanding how these factors interact and shape economic outcomes. The analysis shows that environmental rents positively impact financial growth, countering the traditional \"resource curse\" belief. Technological innovation is negatively linked to both economic growth and environmental sustainability, while energy consumption is positively correlated with economic growth and exhibits a weak correlation with the environment. Furthermore, primary energy consumption is strongly connected to resource utilization and financial growth, although technological advancements negatively affect this relationship. Causality tests reveal mutual influences between energy consumption and technological innovation, alongside unidirectional effects of natural resources on financial and technological growth. Policy implications underscore the need for BRICS nations to balance resource management and technological progress to foster sustainable economic and environmental development.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"56 ","pages":"Article 101587"},"PeriodicalIF":7.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142655485","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Guangwei Zhang, Muhammad Yousaf Raza, Li Dong-sheng
{"title":"Carbon footprint valuation of Bangladesh transportation under environmental regulations","authors":"Guangwei Zhang, Muhammad Yousaf Raza, Li Dong-sheng","doi":"10.1016/j.esr.2024.101576","DOIUrl":"10.1016/j.esr.2024.101576","url":null,"abstract":"<div><div>The study detects and analyzes the driving factors underlying the CO<sub>2</sub> emission variations in the transport sector of Bangladesh, including the carbon coefficient, fossil fuel ratio, energy use per unit turnover, turnover per unit of transport value-added, and value-added of transport from 2003 to 2021. The objective is to analyze the transportation (i.e., land, water and air) factor's effects under the logarithmic mean Divisia index, Tapio index, CO<sub>2</sub> mitigation potential methods, and their decouplings. The results show that: (i) value-added was the main CO<sub>2</sub> driving factor, while CO<sub>2</sub> coefficient, fuel substitution, energy use, and turnover value mitigated CO<sub>2</sub> emissions. (ii) Land and water transport seemed to be the main CO<sub>2</sub> producers and meaningfully contributed to the economy. (iii) Only two decoupling states─weak decoupling and strong decoupling appeared, in which economic growth was the significant turn towards the best state. (iv) Sub-transportation presented significant and strong decouplings in the maximum intervals. (iv) The carbon mitigation rate was observed at 0.26 % during the period in which the economic structural factor was the main factor contributing to declining CO<sub>2</sub> emissions. Finally, the study proposes frameworks that will support policymakers in estimating energy and technological policies for climate and economic sustainability.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"56 ","pages":"Article 101576"},"PeriodicalIF":7.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142593855","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Gender and authorship in energy studies: Is there an impact?","authors":"Péter Vakhal , Kateryna Yakovenko , Matúš Mišík , Veronika Oravcová , Raffaele Mattera","doi":"10.1016/j.esr.2024.101581","DOIUrl":"10.1016/j.esr.2024.101581","url":null,"abstract":"<div><div>Although gender inequality has been examined and debated as one of the most prominent challenges within the scientific community, relatively little attention has been paid to gender differences with regard to authorship. The aim of this paper is to identify whether gender differences exist with respect to the impact factors of the journals in which male and female authors publish their research. Existing studies use machine-assisted tools to determine author gender. Given the limitations of this type of approach to data collection and coding, we opted for a manual approach that ensured both the inclusion of a high number of journals and greater precision in determining author gender. This paper focuses on authors who published articles on a concrete area of research (energy) in a specific region (Central and Eastern Europe) over a 14-year period (2004–2017). Our study identified a gender bias within energy-related research: male authors (or male-dominated teams) publish more often and on average in journals with higher impact factors than female authors.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"56 ","pages":"Article 101581"},"PeriodicalIF":7.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142655400","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}