SUNtool – A new modelling paradigm for simulating and optimising urban sustainability

Robinson, Darren; Campbell, Nittaya; Gaiser, W.; Kabel, K.; Le-Mouel, A.; Morel, Nicolas; Page, Jessen; Stankovic, Srdjan; Stone, Andrew

doi:10.1016/j.solener.2007.06.002

Cited by 129 publications

(45 citation statements)

References 20 publications

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“…These approaches result in highly accurate output, but require substantial preceding work. Communities or districts are often modeled as 3D objects considering energy and radiation calculation [32].…”

Section: Non-gis-based Approaches (Non-geospatial Methods)mentioning

confidence: 99%

GIS-Based Planning and Modeling for Renewable Energy: Challenges and Future Research Avenues

Resch

Sagl

Törnros

et al. 2014

IJGI

122

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Abstract:In the face of the broad political call for an -energy turnaround‖, we are currently witnessing three essential trends with regard to energy infrastructure planning, energy generation and storage: from planned production towards fluctuating production on the basis of renewable energy sources, from centralized generation towards decentralized generation and from expensive energy carriers towards cost-free energy carriers. These changes necessitate considerable modifications of the energy infrastructure. Even though most of these modifications are inherently motivated by geospatial questions and challenges, the integration of energy system models and Geographic Information Systems (GIS) is still in its infancy. This paper analyzes the shortcomings of previous approaches in using GIS in renewable energy-related projects, extracts distinct challenges from these previous efforts and, finally, defines a set of core future research avenues for GIS-based energy infrastructure planning with a focus on the use of renewable energy. These future OPEN ACCESS ISPRS Int. J. Geo-Inf. 2014, 3 663 research avenues comprise the availability base data and their -geospatial awareness‖, the development of a generic and unified data model, the usage of volunteered geographic information (VGI) and crowdsourced data in analysis processes, the integration of 3D building models and 3D data analysis, the incorporation of network topologies into GIS, the harmonization of the heterogeneous views on aggregation issues in the fields of energy and GIS, fine-grained energy demand estimation from freely-available data sources, decentralized storage facility planning, the investigation of GIS-based public participation mechanisms, the transition from purely structural to operational planning, data privacy aspects and, finally, the development of a new dynamic power market design.Keywords: integration of GIS and energy system models; GIS and renewable energy; GIS-based energy infrastructure planning; future research challenges; fluctuating renewables; structural planning of local energy systems; operation optimization

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Section: Non-gis-based Approaches (Non-geospatial Methods)mentioning

confidence: 99%

GIS-Based Planning and Modeling for Renewable Energy: Challenges and Future Research Avenues

Resch

Sagl

Törnros

et al. 2014

IJGI

122

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“…Their work regards a quite complete range of urban planning aspects and spans the building to neighborhood scale. Robinson et al (2007) developed SUNtool for fast and physically rigorous analyses of interdependencies between urban form and building energy demand. This is achieved by incorporating dynamic models, with a specific focus on shortwave irradiation exchange and user behavior.…”

Section: State-of-the-artmentioning

confidence: 99%

“…As a further development of the above presented SUNtool of Robinson et al (2007) can be seen the tool CitySim (Kämpf, 2009;Robinson et al, 2009). In Kämpf et al (2010), it is coupled with an evolutionary algorithm to optimize the design of a set of about 32 buildings with different, predefined block layouts in terms of their volume for their received annual irradiation offset by their thermal losses.…”

Section: State-of-the-artmentioning

confidence: 99%

The Optimum Is Not the Goal: Capturing the Decision Space for the Planning of New Neighborhoods

Schüler

Cajot

Peter

et al. 2018

Front. Built Environ.

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This article presents the development and application of a methodology that employs optimization not to seek the single or few optimal plan(s) but to provide planners with a systematic overview of their decision space. As urban development projects are not only subject to decisions of planners but also to those of many actors, the insight about how different actors would decide based on the decisions of the planners should enable planners to already adapt their decisions to ensure that final project targets are reached. The existence of different decision makers is considered via a multiparametric mixedinteger linear programming (mpMILP) approach. Along with the methodology a model was developed, which incorporates multiple domains and scales. Those domains include social, environmental, form, energy, and economic aspects. The considered scales range from single floors up to a neighborhood. Model and methodology were applied to a greenfield development project. Two practical questions are answered, which address the impact of planning decisions about (a) the building density and the sustainability of the energy supply on costs of different actors and (b) the building density and the share of parks on the view on a landmark. The capturing of the decision space revealed trade-offs in terms of chosen energy supply system and urban form, respectively. The presented computational method forms part of the decision support tool URB io , which shall assist urban planning.

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“…Some studies focus on modeling only occupants presence (Wang et al, 2005;Yamaguchi et al, 2003), others on lighting control (Newsham et al, 1995;Reinhart, 2004;Richardson et al, 2009;Widén et al, 2009), or HVAC systems (Saelens et al, 2011;Schweiker and Shukuya, 2009), while others tackle the issue of domestic appliances (Firth et al, 2008;Page et al, 2007). A number of authors (Muratori, 2012;Page et al, 2007;Robinson et al, 2007;Shimoda et al, 2004) modeled the totality of energy consumption end uses in a building. Even though such models offer good representations of the energy consumption of buildings, they still fail to take into account some important points related to human behavior.…”

Section: Modeling and Predicting Energy Usage In Residential Buildingsmentioning

confidence: 99%

Use-phase memory: A tool for the sustainable construction and renovation of residential buildings

Picon

Yannou

Zaraket

et al. 2013

Automation in Construction

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Residents' usages and behavior play a determining role in the variability of the energy consumption and environmental impact of residential buildings during their use-phase. At present, however, they are inadequately documented and understood, as well as being highly variable. In this paper, we propose a use-phase memory model for residential buildings, whose aim is to store energy consumption and usage patterns. This storage can be done automatically or voluntarily. We give examples of useful information extracted from the data captured. The objective of this data analysis and synthesis is to provide building experts two specific use-cases: designing a new sustainable building, and renovating an existing one. Our model is deployed on a residential building, integrating the beneficial services for all stakeholders to demonstrate a sustainable relationship between designers, the residential building and the users. KeywordsUse-phase memory, environmental impact, user behavior, built environment, design tools

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SUNtool – A new modelling paradigm for simulating and optimising urban sustainability

Cited by 129 publications

References 20 publications

GIS-Based Planning and Modeling for Renewable Energy: Challenges and Future Research Avenues

GIS-Based Planning and Modeling for Renewable Energy: Challenges and Future Research Avenues

The Optimum Is Not the Goal: Capturing the Decision Space for the Planning of New Neighborhoods

Use-phase memory: A tool for the sustainable construction and renovation of residential buildings

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