Benjamin K. Sovacool , Darrick Evensen , Thomas A. Kwan , Vincent Petit
{"title":"Corrigendum to “Building a green future: Examining the job creation potential of electricity, heating, and storage in low-carbon buildings” [Electr. J. 36(5) (2023) 107274]","authors":"Benjamin K. Sovacool , Darrick Evensen , Thomas A. Kwan , Vincent Petit","doi":"10.1016/j.tej.2023.107306","DOIUrl":"https://doi.org/10.1016/j.tej.2023.107306","url":null,"abstract":"","PeriodicalId":35642,"journal":{"name":"Electricity Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50177205","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Are utilities overspending on electric power resilience? How can that be?","authors":"Kenneth W. Costello","doi":"10.1016/j.tej.2023.107304","DOIUrl":"https://doi.org/10.1016/j.tej.2023.107304","url":null,"abstract":"<div><p>Few people doubt that the U.S. will encounter future electric power outages of long durations, disrupting a large number of people and businesses. Most industry observers believe that any improvement in the resilience of the U.S. electric-power network would be cost-beneficial. From an economic perspective, the desirability of improved resilience depends on the marginal benefits and marginal costs. Marginal benefits are especially hard to measure. There is also the question of whether utilities are applying the most cost-effective actions to improve resilience, which is difficult to judge but often ignored by state utility regulators in evaluating utility “resilience” plans. State utility regulators and electric system operators face the burden of answering to the heated public after an extended power outage. They will, not surprisingly, tend to err on the side of excessive resilience, which translates into higher electricity prices. Two probable explanations for this behavior are <em>probability neglect</em> and the <em>precautionary principle</em>. This essay concludes by posing less standard alternatives for policymakers to consider in addressing electric power resilience and the “outage” problem. Two alternatives are exploiting the price mechanism and compensating utility customers for extended power outages.</p></div>","PeriodicalId":35642,"journal":{"name":"Electricity Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50177206","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
George Varelas , Giannis Tzimas , Panayiotis Alefragis
{"title":"A new approach in forecasting Greek electricity demand: From high dimensional hourly series to univariate series transformation","authors":"George Varelas , Giannis Tzimas , Panayiotis Alefragis","doi":"10.1016/j.tej.2023.107305","DOIUrl":"https://doi.org/10.1016/j.tej.2023.107305","url":null,"abstract":"<div><p>This article presents a different approach to power consumption forecasting problem. This forecasting can help power supply companies to program their production or purchases. Based on this forecasting the companies take part in auctions that determine the price of the MWh in the electricity market and at the end of the day, the price for the end consumer. So far, the problem of forecasting power supply time series has mainly been dealt with the use of classical time series algorithms or VAR models. In this paper, we use a method from the insurance sector to forecast Greek power consumption hourly values. The innovation in this method is that it allows converting the forecasting of a system of time series (high dimensional time series) into forecasting a single time series and propagating the results back to each time series. It leaves the forecasting algorithm choice to the researcher, making it very flexible and removing the necessity of choosing complex algorithms. We demonstrate the forecasting of the results of this method by applying the ARIMA algorithm.</p></div>","PeriodicalId":35642,"journal":{"name":"Electricity Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50177203","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Testing for integrated electricity series – A formalized synthesis of known problems","authors":"Nicolas Schneider","doi":"10.1016/j.tej.2023.107289","DOIUrl":"https://doi.org/10.1016/j.tej.2023.107289","url":null,"abstract":"<div><p>This paper reviews and discusses methodological choices and statistical inferences relevant to the literature that has worked at identifying long-memory behaviours within the stochastic features of electricity series (consumption and prices). We argue that persisting divergences reported in this literature can be linked to the (non)-treatment of key identification challenges in time-series econometrics. We synthetized those problems in a formalized fashion focusing on the followings: presence of structural breaks in the series (<em>i</em>); inferences affecting panel data structure such as cross-sectional dependence among the series, heterogeneous slope coefficients as well as the problem of missing observations (<em>ii</em>); the issue of integrated time-series observed with noise and some implications for cointegrated relations (<em>iii</em>).</p></div>","PeriodicalId":35642,"journal":{"name":"Electricity Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50177199","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Electricity sector resilience in response to extreme weather and climate-related events: Tools and datasets","authors":"Hamidreza Ashrafi , Tarannom Parhizkar","doi":"10.1016/j.tej.2023.107290","DOIUrl":"https://doi.org/10.1016/j.tej.2023.107290","url":null,"abstract":"<div><p>The significant increase in both the severity and frequency of climatological catastrophes draws attention to the necessity for a more climate-resilient electricity sector. In recent years, several databases and platforms have been developed to assess the resilience of the electricity sector in response to extreme weather and climate-related events. This study conducts a comprehensive review of the platforms and databases used for assessing climate resilience in the electricity sector. It discusses the existing gaps and challenges of these platforms and datasets and proposes a future path.</p></div>","PeriodicalId":35642,"journal":{"name":"Electricity Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50177198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Simple Chargers for a Small DC Micro-Grid for a Home Emergency Power System","authors":"F. Himmelstoss, H. Votzi","doi":"10.3390/electricity4030013","DOIUrl":"https://doi.org/10.3390/electricity4030013","url":null,"abstract":"Recently, the danger of a long blackout is discussed in Europe. Blackouts can be caused by failures in the energy distribution, errors in large power plants or even cyber-attacks. This can lead to a chain reaction and a disintegration of the mains. Longer blackouts have an extreme impact on the economy as a whole and on local households. Therefore, a small local grid at home which can supply the most important loads over some time has garnered increasing interest. With a small direct current (DC) grid, critical loads such as for deep freezers and refrigerators can be supplied, and some LED lights can be used in the evening or at night. Solar generators (panels) can be used to charge energy storage devices, e.g., batteries. A DC grid can not only be used in the case of an emergency, but can also be used to reduce energy consumption out of the public mains and reduce energy bills. The architecture of the household emergency DC grid is discussed; suggestions for batteries are given; two simple chargers, based on DC-DC-converters like the Buck (step-down) and on the Boost (step-up) converters, are shown; dimensioning suggestions are given; and simple, robust controllers, a P-controller with disturbance feedforward and a hysteresis controller, are treated and tested via simulations. The goal of the paper is to show a simple autonomous home energy system without an external fieldbus, LAN or internet connection with special focus on simple charger topologies.","PeriodicalId":35642,"journal":{"name":"Electricity Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75449820","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Dynamic Regression Prediction Models for Customer Specific Electricity Consumption","authors":"Fatlinda Shaqiri, R. Korn, Hong-Phuc Truong","doi":"10.3390/electricity4020012","DOIUrl":"https://doi.org/10.3390/electricity4020012","url":null,"abstract":"We have developed a conventional benchmark model for the prediction of two days of electricity consumption for industrial and institutional customers of an electricity provider. This task of predicting 96 values of 15 min of electricity consumption per day in one shot is successfully dealt with by a dynamic regression model that uses the Seasonal and Trend decomposition method (STL) for the estimation of the trend and the seasonal components based on (approximately) three years of real data. With the help of suitable R packages, our concept can also be applied to comparable problems in electricity consumption prediction.","PeriodicalId":35642,"journal":{"name":"Electricity Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84791480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mark Newton Lowry, David A. Hovde, Rebecca Kavan, Matthew Makos
{"title":"Impact of multiyear rate plans on power distributor productivity: Evidence from Alberta","authors":"Mark Newton Lowry, David A. Hovde, Rebecca Kavan, Matthew Makos","doi":"10.1016/j.tej.2023.107288","DOIUrl":"https://doi.org/10.1016/j.tej.2023.107288","url":null,"abstract":"<div><p>Multiyear rate plans (“MRPs”) are an increasingly popular alternative to traditional utility ratemaking in North America. Rate cases are less frequent, and an attrition relief mechanism (“ARM”) escalates revenue between rate cases on some basis other than the utility’s contemporaneous cost growth. An approach to ARM design has developed in North America that is based on price and productivity indexing. Evidence filed in support of indexed ARMs frequently includes studies of the efficiency of subject utilities. Stronger utility performance incentives are a theoretical advantage of MRPs but few empirical studies have quantified this advantage. A proceeding in Alberta, where indexed ARMs are used, has yielded evidence that MRPs can accelerate utility productivity growth.</p></div>","PeriodicalId":35642,"journal":{"name":"Electricity Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50187883","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Wholesale price dynamics in the evolving Texas power grid","authors":"Xiaodong Du , Yue Zhao , Adria E. Brooks","doi":"10.1016/j.tej.2023.107287","DOIUrl":"https://doi.org/10.1016/j.tej.2023.107287","url":null,"abstract":"<div><p>Our study conducts an innovative analysis of the power grid from a network perspective, shedding light on crucial aspects of the wholesale electricity market in Texas. By employing a power system engineering model, we construct a transmission network representation, presenting a novel contribution to the economics literature. Through our analysis of the network matrix, we delve into the characteristics of the Texas power grid, specifically focusing on the structural changes resulting from the Competitive Renewable Energy Zone (CREZ) project and their impacts on nodal prices. The empirical analysis provides additional evidence that ignoring changes in the transmission grid leads to biased estimates of various coefficients. This includes the spatial dependence coefficient, as well as the coefficients associated with control variables such as wind production and load. These empirical findings underscore the significance and distinctive value of network analysis in studying power grids.</p></div>","PeriodicalId":35642,"journal":{"name":"Electricity Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50187885","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Benjamin K. Sovacool , Darrick Evensen , Thomas A. Kwan , Vincent Petit
{"title":"Building a green future: Examining the job creation potential of electricity, heating, and storage in low-carbon buildings","authors":"Benjamin K. Sovacool , Darrick Evensen , Thomas A. Kwan , Vincent Petit","doi":"10.1016/j.tej.2023.107274","DOIUrl":"https://doi.org/10.1016/j.tej.2023.107274","url":null,"abstract":"<div><p>Job creation is paramount when considering global transitions to low-carbon, clean-energy solutions. The building sector, critical to reducing greenhouse gas emissions on a global scale, has technologies available that rely on electricity rather than fossil fuels for energy and indoor heating and cooling. Solar photovoltaic, energy storage in the form of prosumer batteries, and heat pumps represent three readily deployable solutions to reduce carbon emissions in both new and retrofitted buildings. This study investigates the creation of jobs for each solution and then for all three combined across key countries in North America, Europe, and Asia. While other studies have explored aggregated job creation within nations, regions or globally, this first-of-a-kind study employs a micro-level approach examining six individual building archetypes: residential, hospital, hotel, office, retail, and education. Using the best available data as of 2022, the first-order assessment finds that more than 2 million new jobs and more than 141 million job years can be generated in Europe and the United States alone during the transition to net zero living.</p></div>","PeriodicalId":35642,"journal":{"name":"Electricity Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50187864","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}