Catalogue Search | MBRL
Are you sure you want to remove the book from the shelf?
{{itemTitle}}
636,946
result(s) for
"demand"
Sort by:
Impact of Building Location on its Energy Demand
The paper presents the analyses involving energy demand of a single-family building located in various climatic zones. When designing buildings, special attention is paid to material and technological solutions, but often the climatic zone in which the building is to be located is not taken into account. Therefore, the article considers the location of building in five climatic zones in Poland and it investigates the impact of the location on its energy demand. It turned out that the location of the building in zone V, i.e. in the north-east of the country, determines the highest energy demand for heating compared to the rest of the country. The work demonstrates the impact of a climatic zone in which the building is located on its energy demand.
Journal Article
Demand Response in Buildings: A Comprehensive Overview of Current Trends, Approaches, and Strategies
Power grids in the 21st century face unprecedented challenges, including the urgent need to combat pollution, mitigate climate change, manage dwindling fossil fuel reserves, integrate renewable energy sources, and meet greater energy demand due to higher living standards. These challenges create heightened uncertainty, driven by the intermittent nature of renewables and surges in energy consumption, necessitating adaptable demand response (DR) strategies. This study addresses this urgent situation based on a statistical analysis of recent scientific research papers. It evaluates the current trends and DR practices in buildings, recognizing their pivotal role in achieving energy supply–demand equilibrium. The study analysis provides insight into building types, sample sizes, DR modeling approaches, and management strategies. The paper reveals specific research gaps, particularly the need for more detailed investigations encompassing building types and leveraging larger datasets. It underscores the potential benefits of adopting a multifaceted approach by combining multiple DR management strategies to optimize demand-side management. The findings presented in this paper can provide information to and guide future studies, policymaking, and decision-making processes to assess the practical potential of demand response in buildings and ultimately contribute to more resilient and sustainable energy systems.
Journal Article
AGGREGATE DEMAND, IDLE TIME, AND UNEMPLOYMENT
This article develops a model of unemployment fluctuations. The model keeps the architecture of the general-disequilibrium model of Barro and Grossman (1971) but takes a matching approach to the labor and product markets instead of a disequilibrium approach. On the product and labor markets, both price and tightness adjust to equalize supply and demand. Since there are two equilibrium variables but only one equilibrium condition on each market, a price mechanism is needed to select an equilibrium. We focus on two polar mechanisms: fixed prices and competitive prices. When prices are fixed, aggregate demand affects unemployment as follows. An increase in aggregate demand leads firms to find more customers. This reduces the idle time of their employees and thus increases their labor demand. This in turn reduces unemployment. We combine the predictions of the model and empirical measures of product market tightness, labor market tightness, output, and employment to assess the sources of labor market fluctuations in the United States. First, we find that product market tightness and labor market tightness fluctuate a lot, which implies that the fixed-price equilibrium describes the data better than the competitive-price equilibrium. Next, we find that labor market tightness and employment are positively correlated, which suggests that the labor market fluctuations are mostly due to labor demand shocks and not to labor supply or mismatch shocks. Last, we find that product market tightness and output are positively correlated, which suggests that the labor demand shocks mostly reflect aggregate demand shocks and not technology shocks.
Journal Article
Empire of things : how we became a world of consumers, from the fifteenth century to the twenty-first
\"The extraordinary story of our modern material world, from Renaissance Italy and late Ming China to today's global economy. A masterpiece of research and storytelling many years in the making, [this work] recounts the epic history of the goods that have seduced, enriched, and unsettled our lives over the past six hundred years\"--Front jacket flap.
Book
The Price Elasticity of Electricity Demand in the United States
In this paper we employ a dataset of three dimensions—state, sector, and year—to estimate the short- and long-run price elasticities of state-level electricity demand in the United States. Our sample covers the period 2003–2015. We contribute to the literature by employing instrumental variable estimation approaches, using the between estimator, and pursuing panel specifications that enable us to control for multiple dimensions of fixed effects. We conclude that state-level electricity demand is very price inelastic in the short run, with a same-year elasticity of −0.1. The long-run elasticity is near −1, larger than often believed. Among the sectors, it is industry that has the largest long-run price elasticity of demand. This appears to in part be due to electricity-intensive industrial activities clustering in low-price states.
Journal Article
Risk-pooling essentials : reducing demand and lead time uncertainty
This book provides comprehensive and concise definitions of risk pooling and risk-pooling methods, a straightforward statistical explanation, and a value-chain oriented framework for analyzing risk-pooling methods. Risk pooling mitigates demand and lead time uncertainty in logistics and supply chain management. The author also provides readers with a downloadable computerized decision support tool to compare and choose appropriate risk-pooling methods and to apply them in companies. Students and practitioners of logistics and supply chain management will find this book particularly useful.
Book
A comprehensive overview on demand side energy management towards smart grids: challenges, solutions, and future direction
Demand-side management, a new development in smart grid technology, has enabled communication between energy suppliers and consumers. Demand side energy management (DSM) reduces the cost of energy acquisition and the associated penalties by continuously monitoring energy use and managing appliance schedules. Demand response (DR), distributed energy resources (DER), and energy efficiency (EE) are three categories of DSM activities that are growing in popularity as a result of technological advancements in smart grids. During the last century, the energy demand has grown significantly in tandem with the increase in the global population. This is related to the expansion of business, industry, agriculture, and the increasing use of electric vehicles. Because of the sharp increase in global energy consumption, it is currently extremely difficult to manage problems such as the characterization of home appliances, integration of intermittent renewable energy sources, load categorization, various constraints, dynamic pricing, and consumer categorization. To address these issues, it is critical to examine demand-side management (DSM), which has the potential to be a practical solution in all energy demand sectors, including residential, commercial, industrial, and agricultural. This paper has provided a detailed analysis of the different challenges associated with DSM, including technical, economic, and regulatory challenges, and has proposed a range of potential solutions to overcome these challenges. The PRISMA reviewing methodology is adopted based on relevant literature to focus on the issues identified as barriers to improving DSM functioning. The optimization techniques used in the literature to address the problem of energy management were discussed, and the hybrid techniques have shown a better performance due to their faster convergence speed. Gaps in future research and prospective paths have been briefly discussed to provide a comprehensive understanding of the current DSM implementation and the potential benefits it can offer for an energy management system. This comprehensive review of DSM will assist all researchers in this field in improving energy management strategies and reducing the effects of system uncertainties, variances, and restrictions.
Journal Article