Integrated energy planning in cities and territories: A review of methods and tools

Mirakyan, Atom; Guio, Roland De

doi:10.1016/j.rser.2013.01.033

Cited by 175 publications

(108 citation statements)

References 58 publications

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“…On the contrary, however, there exists a whole body of research on energy planning. Relevant reviews include the ones by Mirakyan and De Guio (2013) and Huang et al (2015), who compare tools that can be employed during different phases of the process of planning community or city-scale energy systems. Markovic et al (2011) reviewed this kind of tools with an additional focus on the environmental impact of those energy systems.…”

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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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.

View full text Add to dashboard Cite

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“…• Model-based energy planning in cities or territories is defined by Mirakyan and De Guio (2013a) as "an approach to find environmentally friendly, institutionally sound, social acceptable and cost-effective solutions of the best mix of energy supply and demand options for a defined area to support long-term regional sustainable development. It is a transparent and participatory planning process, an opportunity for planners to present complex, uncertain issues in a structured, holistic and transparent way, for interested parties to review, understand and support the planning decisions.…”

Section: Urban Energy System Planningmentioning

confidence: 99%

“…Thus, urban planners play a considerable role, as they must mediate and account for the many interests at stake when making decisions (Teriman et al, 2010). While it has been demonstrated that the lack of analytical support may lead to the use of simplified and contradictory decision rules (Keeney, 1992;Pedrycz et al, 2011), monocriterion approaches are most likely suboptimal when considering a wider range of objectives and attributes and thus support longterm sustainable development only partially (Mirakyan and De Guio, 2013a). Several methods focusing essentially on monetary aspects, such as cost-benefit analysis, cost-effectiveness analysis, or financial analysis, have been qualified as "reductionist" tech niques for failing to capture the multiple facets of a problem (Dodgson et al, 2009;Browne et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Multicriteria Decisions in Urban Energy System Planning: A Review

et al. 2017

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Urban energy system planning (UESP) is a topic of growing concern for cities in deregulated energy markets, which plan to decrease energy demand, reduce their dependency on fossil fuels, and increase the share of renewable energy sources. UESP being a highly multisectoral and multi-actor task, multicriteria decision analysis (MCDA) methods are frequently used in the decision processes. These methods may provide support in organizing and identifying solutions to problems with conflicting objectives. However, knowing which method to use is generally not straightforward, as the appropriateness of a method or combination of methods depends on the decision problem's context. Therefore, this article reviewed scientific papers to characterize and analyze MCDA problems and methods in the context of UESP. The review systematically explores issues such as the scope of the problems, the alternatives and criteria considered, the expected decision outcomes, the decision analysis methods and the rationales for selecting and combining them, and the role of values in driving the decision problems. The final outcome is a synthesis of the data and insights obtained, which may help potential users identify appropriate decision analysis methods based on given problem characteristics.

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“…To avoid the limitation associated with a sectorial planning approach, the city of Torino investigated the applicability of an integrated energy planning procedure [19] at the local scale. In this context, this paragraph briefly describes the results of a methodology developed in the framework of cooperation between the Politecnico di Torino and the International Energy Agency.…”

Section: Defining Heat Decarbonization Strategies Through Integrated mentioning

confidence: 99%

The Energy Center Initiative at Politecnico di Torino: Practical experiences on energy efficiency measures in the municipality of Torino

Borchiellini¹,

Corgnati²,

Becchio³

et al. 2017

IJHT

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Urban districts should evolve towards a more sustainable infrastructure and greener energy carriers. The utmost challenge is the smart integration and control, within the existing infrastructure, of new information and energy technologies (such as sensors, appliances, electric and thermal power and storage devices) that are able to provide multi-services based on multi-actors and multi and interchangeable energy carriers. In recent years, the Municipality of Torino represents an experimental scenario, in which practical experiences in the below-areas have taken place through a number of projects: 1. energy efficiency in building; 2. smart energy grids management and smart metering; 3. biowaste-to-energy: mixed urban/industrial waste management with enhanced energy recovery from biogas. This work provides an overview and update on the most interesting initiatives of smart energy management in the urban context of Torino, with an analysis and quantification of the advantages gained in terms of energy and environmental efficiency.

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Integrated energy planning in cities and territories: A review of methods and tools

Cited by 175 publications

References 58 publications

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

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

Multicriteria Decisions in Urban Energy System Planning: A Review

The Energy Center Initiative at Politecnico di Torino: Practical experiences on energy efficiency measures in the municipality of Torino

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