Energizing Sustainable Cities: Assessing Urban Energy. edited by ArnulfGrubler and DavidFisk. Abingdon, Oxford, UK: Routledge, 2012, 222 pp., ISBN 978-1-84971-439-6, paperback, $49.95;Urban Energy Systems: An Integrated Approach. by James Keirstead and Ni

2014 ◽  
Vol 18 (2) ◽  
pp. 319-320
Author(s):  
Stephen A. Hammer
Keyword(s):  
Energy Systems ◽  
Integrated Approach ◽  
Sustainable Cities ◽  
Urban Energy

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.

scholarly journals Framework for optimization of long-term, multi-period investment planning of integrated urban energy systems

2021 ◽  
Vol 292 ◽  
pp. 116880
Author(s):  
Iris van Beuzekom ◽  
Bri-Mathias Hodge ◽  
Han Slootweg
Keyword(s):  
Energy Systems ◽  
Investment Planning ◽  
Urban Energy

scholarly journals A complexity approach to defining urban energy systems

Cities ◽  
2019 ◽  
Vol 95 ◽  
pp. 102358 ◽  
Author(s):  
Sumedha Basu ◽  
Catherine S. E. Bale ◽  
Timon Wehnert ◽  
Kilian Topp
Keyword(s):  
Energy Systems ◽  
Urban Energy

Paradigm shift in urban energy systems through distributed generation: Methods and models

2011 ◽  
Vol 88 (4) ◽  
pp. 1032-1048 ◽  
Author(s):  
Massimiliano Manfren ◽  
Paola Caputo ◽  
Gaia Costa
Keyword(s):  
Distributed Generation ◽  
Paradigm Shift ◽  
Energy Systems ◽  
Urban Energy

Expressing the Building Energy Systems Thermodynamic Seasonal Efficiency

2017 ◽  
Author(s):  
Karolis Januševičius ◽  
Juozas Bielskus ◽  
Vytautas Martinaitis ◽  
Giedrė Streckienė ◽  
Dovydas Rimdžius
Keyword(s):  
Reference Conditions ◽  
Energy Systems ◽  
Integrated Approach ◽  
Building Energy ◽  
Simulation Software ◽  
Calculation Procedure ◽  
Thermodynamic Efficiency ◽  
Engineering Practice ◽  
Time Step ◽  
Building Energy Systems

In order to reduce impact to environment, a qualitative approach of energy saving is global aspect that is included in various forms of CO2 emissions, primary energy limitations and benchmarks in EU and member countries policy. Exergy analysis allows expressing the quality of energy flows in comparison to ambient or other reference conditions. Despite of this valuable information, this concept is not widely used in engineering practice. The article suggests the calculation procedure for sessional or periodical thermodynamic (exergy) efficiency in relation to variable reference conditions. Knowledge about defined procedures unlocks the possibility to fill up the implementation gap for building system engineering practice where seasonal performance parameters are widely used to express efficiency. Prepared algorithm allows determining seasonal or periodic thermodynamic efficiency of individual elements and energy transfer chains in building energy systems. Defined calculation procedure workflow is suitable for integrated approach when coupled heat transfer and fluid flow processes are explored in short time steps with dynamic simulation software tools. Presented algorithm ensures result that fits in thermodynamically correct range 0-1 and helps to summarize separate time step results. By adding duration of specific conditions, this analysis enables to identify critical peak periods and base load conditions across operation period. The presented framework fills the gap in lack of systematic expression for seasonal thermodynamic efficiency and suggests the process for calculation procedures workflow.

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.

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