scholarly journals District Cooling Versus Individual Cooling in Urban Energy Systems: The Impact of District Energy Share in Cities on the Optimal Storage Sizing

Energies ◽  
2019 ◽  
Vol 12 (3) ◽  
pp. 407 ◽  
Author(s):  
Dominik Dominković ◽  
Goran Krajačić
Keyword(s):  
Energy Supply ◽  
Energy Systems ◽  
Energy System ◽  
Integrated Modelling ◽  
Economic Costs ◽  
Battery Storage ◽  
Spatial Constraints ◽  
District Energy ◽  
Urban Energy ◽  
The Impact

The energy transition of future urban energy systems is still the subject of an ongoing debate. District energy supply can play an important role in reducing the total socio-economic costs of energy systems and primary energy supply. Although lots of research was done on integrated modelling including district heating, there is a lack of research on integrated energy modelling including district cooling. This paper addressed the latter gap using linear continuous optimization model of the whole energy system, using Singapore for a case study. Results showed that optimal district cooling share was 30% of the total cooling energy demand for both developed scenarios, one that took into account spatial constraints for photovoltaics installation and the other one that did not. In the scenario that took into account existing spatial constraints for installations, optimal capacities of methane and thermal energy storage types were much larger than capacities of grid battery storage, battery storage in vehicles and hydrogen storage. Grid battery storage correlated with photovoltaics capacity installed in the energy system. Furthermore, it was shown that successful representation of long-term storage solutions in urban energy models reduced the total socio-economic costs of the energy system for 4.1%.

scholarly journals Modeling of a Prosumer in Optimal Design Energy Systems Problem

2019 ◽  
Vol 102 ◽  
pp. 02001
Author(s):  
Evgeny Barakhtenko ◽  
Dmitry Sokolov ◽  
Veronica Tashlykova
Keyword(s):  
Optimal Design ◽  
Energy Supply ◽  
Energy Systems ◽  
Energy System ◽  
Economic Benefits ◽  
Supply System ◽  
Energy Supply System ◽  
District Energy ◽  
Integrated Energy Systems ◽  
Equipment Configuration

The conversion of existing energy systems to intelligent integrated energy systems can happen only if economic benefits due to introduction of the intelligent integrated energy systems will exceed required level of investments. Thus, it is necessary for every optimal design energy systems problem according to the purposes of the study to determine various aspects of equipment configuration, investment and a proposed unit commitment on a case-by-case basis. The studies, taking under consideration energy efficiency of renewable energy units, are particularly important as environmental safety standards are increasing. In the paper optimal design of prosumer energy supply system problem in the intelligent integrated energy system was investigated. For this purpose a super structure for an energy supply system includes different generating capacities with relevant power range. The superstructure for prosumer energy supply system consists of an electric boiler, a gas-fired boiler, a solar photo-voltaic, a solar heating system and a gas-fired CHP. An ability of district energy system to receive the excess generating energy is restricted by the constraints. The heat and electricity tariffs and the received to district energy supply system energy constraints are varying according to time period. As a result of this study, cost-effectiveness analysis of chosen equipment configuration was undertaken.

scholarly journals A Method for Optimizing and Spatially Distributing Heating Systems by Coupling an Urban Energy Simulation Platform and an Energy System Model

Resources ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 52
Author(s):  
Annette Steingrube ◽  
Keyu Bao ◽  
Stefan Wieland ◽  
Andrés Lalama ◽  
Pithon M. Kabiro ◽  
...  
Keyword(s):  
District Heating ◽  
Energy Systems ◽  
Energy System ◽  
Heat Pumps ◽  
Energy Simulation ◽  
Heating Systems ◽  
Optimal Amount ◽  
Urban City ◽  
Urban Energy ◽  
Building Level

District heating is seen as an important concept to decarbonize heating systems and meet climate mitigation goals. However, the decision related to where central heating is most viable is dependent on many different aspects, like heating densities or current heating structures. An urban energy simulation platform based on 3D building objects can improve the accuracy of energy demand calculation on building level, but lacks a system perspective. Energy system models help to find economically optimal solutions for entire energy systems, including the optimal amount of centrally supplied heat, but do not usually provide information on building level. Coupling both methods through a novel heating grid disaggregation algorithm, we propose a framework that does three things simultaneously: optimize energy systems that can comprise all demand sectors as well as sector coupling, assess the role of centralized heating in such optimized energy systems, and determine the layouts of supplying district heating grids with a spatial resolution on the street level. The algorithm is tested on two case studies; one, an urban city quarter, and the other, a rural town. In the urban city quarter, district heating is economically feasible in all scenarios. Using heat pumps in addition to CHPs increases the optimal amount of centrally supplied heat. In the rural quarter, central heat pumps guarantee the feasibility of district heating, while standalone CHPs are more expensive than decentral heating technologies.

Multi-Scale, Multi-Dimensional Modelling of Future Energy Systems

2015 ◽  
pp. 113-135 ◽  
Author(s):  
Catalina Spataru ◽  
Andreas Koch ◽  
Pierrick Bouffaron
Keyword(s):  
Material Science ◽  
Control Strategies ◽  
Energy Systems ◽  
Simulation Models ◽  
Energy System ◽  
System Modelling ◽  
Multi Scale ◽  
Future Challenges ◽  
Urban Energy ◽  
Power System Engineering

This chapter provides a discussion of current multi-scale energy systems expressed by a multitude of data and simulation models, and how these modelling approaches can be (re)designed or combined to improve the representation of such system. It aims to address the knowledge gap in energy system modelling in order to better understand its existing and future challenges. The frontiers between operational algorithms embedded in hardware and modelling control strategies are becoming fuzzier: therefore the paradigm of modelling intelligent urban energy systems for the future has to be constantly evolving. The chapter concludes on the need to build a holistic, multi-dimensional and multi-scale framework in order to address tomorrow's urban energy challenges. Advances in multi-scale methods applied to material science, chemistry, fluid dynamics, and biology have not been transferred to the full extend to power system engineering. New tools are therefore necessary to describe dynamics of coupled energy systems with optimal control.

scholarly journals The Climate Action Simulation

2019 ◽  
Vol 51 (2) ◽  
pp. 114-140 ◽  
Author(s):  
Juliette N. Rooney-Varga ◽  
Florian Kapmeier ◽  
John D. Sterman ◽  
Andrew P. Jones ◽  
Michele Putko ◽  
...  
Keyword(s):  
Climate Change ◽  
Focus Group ◽  
Energy Systems ◽  
Role Playing ◽  
Energy System ◽  
Initial Evaluation ◽  
Emotional Engagement ◽  
Action Simulation ◽  
Climate Action ◽  
The Impact

Background. We describe and provide an initial evaluation of the Climate Action Simulation, a simulation-based role-playing game that enables participants to learn for themselves about the response of the climate-energy system to potential policies and actions. Participants gain an understanding of the scale and urgency of climate action, the impact of different policies and actions, and the dynamics and interactions of different policy choices. Intervention. The Climate Action Simulation combines an interactive computer model, En-ROADS, with a role-play in which participants make decisions about energy and climate policy. They learn about the dynamics of the climate and energy systems as they discover how En-ROADS responds to their own climate-energy decisions. Methods. We evaluated learning outcomes from the Climate Action Simulation using pre- and post-simulation surveys as well as a focus group. Results. Analysis of survey results showed that the Climate Action Simulation increases participants’ knowledge about the scale of emissions reductions and policies and actions needed to address climate change. Their personal and emotional engagement with climate change also grew. Focus group participants were overwhelmingly positive about the Climate Action Simulation, saying it left them feeling empowered to make a positive difference in addressing the climate challenge. Discussion and Conclusions. Initial evaluation results indicate that the Climate Action Simulation offers an engaging experience that delivers gains in knowledge about the climate and energy systems, while also opening affective and social learning pathways.

Transient Simulations for Economical Analysis of Energy Systems in Industry and Buildings

2007 ◽  
Author(s):  
Stefan Wischhusen ◽  
Gerhard Schmitz
Keyword(s):  
Reference Model ◽  
Measurement Data ◽  
Energy Systems ◽  
Energy System ◽  
Hot Water ◽  
Industrial Facilities ◽  
Water Storage Tank ◽  
Economical Analysis ◽  
Heating And Cooling ◽  
The Impact

In this paper, criteria which indicate the usage of transient models and dynamic simulation environments for such energy systems are presented. A complex energy system for heating and cooling of industrial facilities and industrial processes is presented as a reference model. A model of a hot water storage tank is presented, which is optimized for the simulation in whole years, in which a very accurate transient response at much quicker simulation times compared to conventional geometric models can be delivered. The model was validated with measurement data from a large cogeneration plant. In addition, the economical impact of system simulation is emphasized on by an optimization study carried out on a large industrial system. Furthermore, the impact of a transient system model is compared to that of a steady state approach of the same system.

The Bioceanic Amazon Corridors: An Opportunity for Development of Sustainable Energy System

2004 ◽  
Author(s):  
Pedro Mendoza G. ◽  
Maximiliano Arroyo Ulloa ◽  
Vincenzo Naso
Keyword(s):  
Alternative Energy ◽  
Energy Systems ◽  
Energy System ◽  
Renewable Sources ◽  
Energy Technologies ◽  
Local Resources ◽  
Decentralized Energy ◽  
Sustainable Energy System ◽  
The Impact ◽  
Principal Energy

The bioceanic Amazon corridor represents a development opportunity for the Peruvian and Brazilian economy but this economic evolution is linked to the production and use of energy. Energy is a conditioning factor of economic growth and development and the application of conventional (or alternative) energy systems is strongly influenced by both quantitative and qualitative trends in energy consumption. Decentralized production of energy is necessary, and new decentralized energy technologies based on renewable sources could provide additional income opportunities, decreasing environmental risk along Amazon corridor, and providing clean fuel and electricity. It’s necessary that the bioceanic Amazon corridors call for the application of energy systems related to the renewable local resources in coast, mountain and forest. In Peru, firewood is the principal energy source for cooking and heating and this fuel is used in inefficient combustion system that increases the impact on ecosystems. Typical Peruvian biomass source are wood, agricultural residues, agro industrial waste and municipal solid waste. The most obvious it’s the availability of agricultural and agro industrial residues that could be used as a biomass fuel source in modern plant to produce electricity. Today, there is a growing interest for ethanol production from sugar cane, but it couldn’t be applied along bioceanic corridors; therefore it is necessary to integrate other renewable sources.

scholarly journals Applications of solar and wind renewable energy in agriculture: A review

2019 ◽  
Vol 102 (2) ◽  
pp. 127-140 ◽  
Author(s):  
Yuliana de Jesus Acosta-Silva ◽  
Irineo Torres-Pacheco ◽  
Yasuhiro Matsumoto ◽  
Manuel Toledano-Ayala ◽  
Genaro Martín Soto-Zarazúa ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Fossil Fuels ◽  
Energy Systems ◽  
Energy System ◽  
Climate Control ◽  
Greenhouse Production ◽  
Renewable Energy Systems ◽  
Greenhouse Crops ◽  
Renewable Energy System ◽  
The Impact

The growing demand for food and the unstable price of fossil fuels has led to the search for environmentally friendly sources of energy. Energy is one of the largest overhead costs in the production of greenhouse crops for favorable climate control. The use of wind–solar renewable energy system for the control of greenhouse environments reduces fuel consumption and so enhances the sustainability of greenhouse production. This review describes the impact of solar–wind renewable energy systems in agricultural greenhouses.

scholarly journals Big Data in Smart Energy Systems: A Critical Review

2020 ◽  
Vol 11 (41) ◽  
pp. 11-26
Author(s):  
Keziban Seçkin Codal ◽  
İzzet Arı ◽  
H. Kemal İlter
Keyword(s):  
Big Data ◽  
Critical Review ◽  
Carbon Dioxide Emissions ◽  
Energy Demand ◽  
Renewable Energy Sources ◽  
Energy Systems ◽  
Energy System ◽  
Interdisciplinary Studies ◽  
Smart Energy Systems ◽  
The Impact

Climate change is an undeniable fact. Considering that two-thirds of greenhouse gas emissions originate from the energy sector, it is expected that the world's energy system will be transformed with renewable energy sources. Energy efficiency will be continuously increased. Reducing energy-related carbon dioxide emissions is the heart of the energy transition. Big data in energy systems play a crucial role in evaluating the adaptive capacity and investing more smartly to manage energy demand and supply. Indeed, the impact of the smart energy grid and meters on smart energy systems provide and assist decision-makers in transforming energy production, consumption, and communities. This study reviews the literature for aligning big data and smart energy systems and criticized according to regional perspective, period, disciplines, big data characteristics, and used data analytics. The critical review has been categorized into present themes. The results address issues, including scientific studies using data analysis techniques that take into account the characteristics of big data in the smart energy literature and the future of smart energy approaches. The manuscripts on big data in smart energy systems are a promising issue, albeit it is essential to expand subjects through comprehensive interdisciplinary studies

scholarly journals The Potential of Simulating Energy Systems: The Multi Energy Systems Simulator Model

Energies ◽  
2021 ◽  
Vol 14 (18) ◽  
pp. 5724
Author(s):  
Luigi Bottecchia ◽  
Pietro Lubello ◽  
Pietro Zambelli ◽  
Carlo Carcasci ◽  
Lukas Kranzl
Keyword(s):  
Open Source ◽  
Spatial Scales ◽  
Optimal Solution ◽  
Energy Systems ◽  
Energy Transition ◽  
Energy System ◽  
System Modelling ◽  
Energy System Model ◽  
Urban Energy ◽  
Realistic Description

Energy system modelling is an essential practice to assist a set of heterogeneous stakeholders in the process of defining an effective and efficient energy transition. From the analysis of a set of open-source energy system models, it emerged that most models employ an approach directed at finding the optimal solution for a given set of constraints. On the contrary, a simulation model is a representation of a system used to reproduce and understand its behaviour under given conditions without seeking an optimal solution. In this paper, a new open-source energy system model is presented. Multi Energy Systems Simulator (MESS) is a modular, multi-energy carrier, multi-node model that allows the investigation of non optimal solutions by simulating an energy system. The model was built for urban level analyses. However, each node can represent larger regions allowing wider spatial scales to be represented as well. In this work, the tool’s features are presented through a comparison between MESS and Calliope, a state of the art optimization model, to analyse and highlight the differences between the two approaches, the potentialities of a simulation tool and possible areas for further development. The two models produced coherent results, showing differences that were tracked down to the different approaches. Based on the comparison conducted, general conclusions were drawn on the potential of simulating energy systems in terms of a more realistic description of smaller energy systems, lower computational times and increased opportunity for participatory processes in planning urban energy systems.

scholarly journals Key features of climate-neutral energy systems for municipalities in different climate zones

2021 ◽  
Vol 2042 (1) ◽  
pp. 012044
Author(s):  
Gerhard Stryi-Hipp ◽  
Annette Steingrube ◽  
Marc-André Triebel ◽  
Vicky Albert-Seifried
Keyword(s):  
Energy Supply ◽  
Strong Influence ◽  
Energy Systems ◽  
Energy System ◽  
Development Stage ◽  
Climate Zones ◽  
The World ◽  
Key Features ◽  
Supply Systems ◽  
Energy Supply Systems

Abstract The conditions for cities to supply themselves with climate-neutral energy sources vary greatly around the world and depend on many parameters such as the climate, settlement density, intensity of land use, geographical conditions and the economic development stage of the country. Climate-neutral energy system solutions for 7 cities and counties in Europe, Asia and Africa were calculated and compared to identify climate zone-depending patterns for the structures of climate-neutral energy systems. It could be demonstrated that climate zones have a strong influence on the design of climate-neutral energy supply systems, both in terms of renewable energy provision (e.g. solar radiation) and energy consumption (e.g. space heating demand).

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