scholarly journals Automatic energy demand and system simulation at district level

Author(s):  
Verena Weiler ◽  
Ursula Eicker

AbstractThe importance of climate protection and sustainability is steadily increasing all over the world. However, there is a large potential for reducing emissions in the heating demand reduction and renewable heat supply of buildings that needs to be addressed. Therefore, a method was developed within the scope of this work that allows local decision-makers such as energy supply companies, project developers and the public sector to calculate, evaluate and compare different scenarios to make buildings and city districts more sustainable based on few and widely available input data. It includes both the determination of the heat demand and measures for its reduction as well as the selection and simulation of centralised and decentralised supply systems. A combination of different methods from the fields of geoinformatics, heuristic decision-making and object-oriented modelling is used. The latter forms a focal point in the work with the development of a data model for energy system components to enable automatic simulation. The applicability as well as the transferability of the method is shown in several case studies. Based on the simulations results, which can be related to CO2 emissions as well as costs, recommendations for the implementation of measures can be given and implemented.The paper is a summary of the dissertation with the title “Automatische Simulation von Wärmebedarf und -versorgung auf Quartiersebene” by the first author at Karlsruhe Institute for Technology.

2018 ◽  
Vol 3 (4) ◽  
pp. 56 ◽  
Author(s):  
Yvon Delerablée ◽  
Dina Rammal ◽  
Hussein Mroueh ◽  
Sébastien Burlon ◽  
Julien Habert ◽  
...  

During the next 15 years, around 200 km of tunnels and 68 new metro stations will be built around Paris to increase the capacity of the existing metro and the transport efficiency. The Société du Grand Paris—the public entity in charge of the design and the execution of this new network—is also highly concerned by the development and the use of renewable energy within this project, especially the integration of thermoactive metro stations in a smart energy system. This paper discusses some issues related to this strategy within the “Grand Paris Project”. The first part presents how smart technology could help to the integration of thermoactive metro stations into the urban energy system, while the second part addresses the following issues: assessment of the geothermal potential, estimate of the energy demand, ground investigations, thermal design, and finally system monitoring. The mechanical design is not considered in this paper. The paper shows the pertinence of the smart energy system for the integration of the thermoactive metro stations energy and the procedure for its implementation.


2019 ◽  
pp. 46-53
Author(s):  
Louise Ödlund ◽  
Viktor Svensson ◽  
Anna Widengren

District heating systems play an important role for increased system efficiency and reduced climate impact. However, the heat market is changing in many ways. Some example of that is that current climate change reduces the heat demand for the buildings, more energy efficient houses are being built, and the competition from other heating actors escalates. Increased knowledge and cooperation with customers is therefore crucial for the district heating industry. Today, several real estate companies are considering replacing installed district heating and instead investing in their own heat pump solutions, which means that the energy utilities are facing reduced demand of heat. In this perspective, it is important to open up for increased cooperation between different energy sources. No energy source alone can fulfil a regions total demand of heat. Increase cooperation between different sectors, and a systems perspective with regard to the region's total energy demand, is therefore crucial to alter the use of energy towards more sustainability. Attractive price models that encourage energy efficiency and lead to reduce system cost must be developed embracing broth users and suppliers for the whole energy system. The aim of this study is to show what measure for energy supplier and energy users that leads to both reduced climate impact as well as reduced system cost for the whole energy system. The study analyses price models for district heating and future heat demand in a region. A system perspective is applied using a back-casting angel with a desirable sustainable vision.


Author(s):  
Patrick DeCorla-Souza

Analysis tools in current use in transportation decision-making processes are not well suited for evaluating toll highway alternatives against more traditional free highway alternatives. How existing analysis tools might be used in evaluating toll options was examined. A case study demonstrates that relatively simple analytical procedures may be used to estimate the impact of pricing alternatives and to generate information for use by local decision makers. The case study also demonstrates that pricing alternatives often can accomplish the purpose of a major highway project more efficiently and more effectively than conventional alternatives that exclude pricing, while generating revenue to support bonds for project construction or to fund improved transit and paratransit services. With toll revenue to back bonds, project delays due to constrained funding can be avoided, and the public can be provided with superior mobility earlier and at lower public cost.


2014 ◽  
Vol 115 (9/10) ◽  
pp. 426-437 ◽  
Author(s):  
Katarina Michnik

Purpose – This article aims to identify threats perceived by Swedish public library directors as the most prominent. Design/methodology/approach – A web questionnaire was sent to public library directors in all of the Swedish municipalities. The data were analysed using qualitative content analysis. Findings – The findings reveal that the main threat was considered to be the tension between the current activities of the public library and the expectations of the public, or of local decision makers. One reason for the lack of correspondence between activities and expectations is that public library managers regard the expectations on the public library as unrealistic. Another reason is that lack of resources prevent public library staff from meeting many of these expectations. Public libraries are thus prevented by both ideological and practical barriers in fulfilling expectations. Originality/value – A central issue in current public library research concerns how change in Western society affects public libraries. Many of these studies are either theoretical or based on interviews with politicians. Few researchers investigate how public library directors perceive the situation of public libraries today. Therefore, this article identifies perceptions made by public library directors.


2020 ◽  
Vol 10 (12) ◽  
pp. 4061 ◽  
Author(s):  
Naoto Takatsu ◽  
Hooman Farzaneh

After the Great East Japan Earthquake, energy security and vulnerability have become critical issues facing the Japanese energy system. The integration of renewable energy sources to meet specific regional energy demand is a promising scenario to overcome these challenges. To this aim, this paper proposes a novel hydrogen-based hybrid renewable energy system (HRES), in which hydrogen fuel can be produced using both the methods of solar electrolysis and supercritical water gasification (SCWG) of biomass feedstock. The produced hydrogen is considered to function as an energy storage medium by storing renewable energy until the fuel cell converts it to electricity. The proposed HRES is used to meet the electricity demand load requirements for a typical household in a selected residential area located in Shinchi-machi in Fukuoka prefecture, Japan. The techno-economic assessment of deploying the proposed systems was conducted, using an integrated simulation-optimization modeling framework, considering two scenarios: (1) minimization of the total cost of the system in an off-grid mode and (2) maximization of the total profit obtained from using renewable electricity and selling surplus solar electricity to the grid, considering the feed-in-tariff (FiT) scheme in a grid-tied mode. As indicated by the model results, the proposed HRES can generate about 47.3 MWh of electricity in all scenarios, which is needed to meet the external load requirement in the selected study area. The levelized cost of energy (LCOE) of the system in scenarios 1 and 2 was estimated at 55.92 JPY/kWh and 56.47 JPY/kWh, respectively.


Energies ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 2045
Author(s):  
Pierpaolo Garavaso ◽  
Fabio Bignucolo ◽  
Jacopo Vivian ◽  
Giulia Alessio ◽  
Michele De Carli

Energy communities (ECs) are becoming increasingly common entities in power distribution networks. To promote local consumption of renewable energy sources, governments are supporting members of ECs with strong incentives on shared electricity. This policy encourages investments in the residential sector for building retrofit interventions and technical equipment renovations. In this paper, a general EC is modeled as an energy hub, which is deemed as a multi-energy system where different energy carriers are converted or stored to meet the building energy needs. Following the standardized matrix modeling approach, this paper introduces a novel methodology that aims at jointly identifying both optimal investments (planning) and optimal management strategies (operation) to supply the EC’s energy demand in the most convenient way under the current economic framework and policies. Optimal planning and operating results of five refurbishment cases for a real multi-family building are found and discussed, both in terms of overall cost and environmental impact. Simulation results verify that investing in building thermal efficiency leads to progressive electrification of end uses. It is demonstrated that the combination of improvements on building envelope thermal performances, photovoltaic (PV) generation, and heat pump results to be the most convenient refurbishment investment, allowing a 28% overall cost reduction compared to the benchmark scenario. Furthermore, incentives on shared electricity prove to stimulate higher renewable energy source (RES) penetration, reaching a significant reduction of emissions due to decreased net energy import.


2021 ◽  
pp. 1-18
Author(s):  
Jiahang Yuan ◽  
Yun Li ◽  
Xinggang Luo ◽  
Lingfei Li ◽  
Zhongliang Zhang ◽  
...  

Regional integrated energy system (RIES) provides a platform for coupling utilization of multi-energy and makes various energy demand from client possible. The suitable RIES composition scheme will upgrade energy structure and improve integrated energy utilization efficiency. Based on a RIES construction project in Jiangsu province, this paper proposes a new multi criteria decision-making (MCDM) method for the selection of RIES schemes. Because that subjective evaluation on RIES schemes benefit under criteria has uncertainty and hesitancy, intuitionistic trapezoidal fuzzy number (ITFN) which has the better capability to model ill-known quantities is presented. In consideration of risk attitude and interdependency of criteria, a new decision model with risk coefficients, Mahalanobis-Taguchi system and Choquet integral is proposed. Firstly, the decision matrices given by experts are normalized, and then are transformed to minimum expectation matrices according to different risk coefficients. Secondly, the weights of criteria from different experts are calculated by Mahalanobis-Taguchi system. Mobius transformation coefficients based on interaction degree are to calculate 2-order additive fuzzy measures, and then the comprehensive weights of criteria are obtained by fuzzy measures and Choquet integral. Thirdly, based on group decision consensus requirement, the weights of experts are obtained by the maximum entropy and grey correlation. Fourthly, the minimum expectation matrices are aggregated by the intuitionistic trapezoidal fuzzy Bonferroni mean operator. Thus, the ranking result according to the comparison rules using the minimum expectation and the maximum expectation is obtained. Finally, an illustrative example is taken in the present study to make the proposed method comprehensible.


Energy ◽  
2021 ◽  
pp. 120784
Author(s):  
Elisabeth Zeyen ◽  
Veit Hagenmeyer ◽  
Tom Brown
Keyword(s):  

Smart Cities ◽  
2021 ◽  
Vol 4 (1) ◽  
pp. 112-145
Author(s):  
Daniel Then ◽  
Johannes Bauer ◽  
Tanja Kneiske ◽  
Martin Braun

Considering the European Union (EU) climate targets, the heating sector should be decarbonized by 80 to 95% up to 2050. Thus, the macro-trends forecast increasing energy efficiency and focus on the use of renewable gas or the electrification of heat generation. This has implications for the business models of urban electricity and in particular natural gas distribution network operators (DNOs): When the energy demand decreases, a disproportionately long grid is operated, which can cause a rise of grid charges and thus the gas price. This creates a situation in which a self-reinforcing feedback loop starts, which increases the risk of gas grid defection. We present a mixed integer linear optimization model to analyze the interdependencies between the electricity and gas DNOs’ and the building owners’ investment decisions during the transformation path. The results of the investigation in a real grid area are used to validate the simulation setup of a sensitivity analysis of 27 types of building collectives and five grid topologies, which provides a systematic insight into the interrelated system. Therefore, it is possible to identify building and grid configurations that increase the risk of a complete gas grid shutdown and those that should be operated as a flexibility option in a future renewable energy system.


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