An inexact two-stage stochastic energy systems planning model for managing greenhouse gas emission at a municipal level

Lin, Q.G.; Huang, Guohe

doi:10.1016/j.energy.2010.01.042

Cited by 40 publications

(19 citation statements)

References 21 publications

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“…District scale models have been the dominant choice of spatial optimisation since at least the year 2000 [179][180][181][182][183][184][185][186][187][188][189] whilst others have focused on building stock models [190][191][192][193]. It is reflective of the recent advances in both programming software and computational hardware that some researchers have increasingly pushed from district scales towards urban scale models [194][195][196][197][198][199][200][201].…”

Section: ] Citesmentioning

confidence: 99%

A review of urban energy system models: Approaches, challenges and opportunities

Keirstead

Jennings

Sivakumar

2012

Renewable and Sustainable Energy Reviews

530

238

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Energy use in cities has attracted significant research in recent years. However such a broad topic inevitably results in number of alternative interpretations of the problem domain and the modelling tools used in its study. This paper seeks to pull together these strands by proposing a theoretical definition of an urban energy system model and then evaluating the state of current practice. Drawing on a review of 219 papers, five key areas of practice were identified -technology design, building design, urban climate, systems design, and policy assessment -each with distinct and incomplete interpretations of the problem domain. We also highlight a sixth field, land use and transportation modelling, which has direct relevance to the use of energy in cities but has been somewhat overlooked by the literature to date.Despite their diversity, these approaches to urban energy system modelling share four common challenges in understanding model complexity, data quality and uncertainty, model integration, and policy relevance. We then examine the opportunities for improving current practice in urban energy systems * Corresponding author Email addresses: j.keirstead@imperial.ac.uk (James Keirstead), m.jennings09@imperial.ac.uk (Mark Jennings), a.sivakumar@imperial.ac.uk (Aruna Sivakumar) Preprint submitted to Renewable and Sustainable Energy ReviewsOctober 5, 2011modelling, focusing on the potential of sensitivity analysis and cloud computing, data collection and integration techniques, and the use of activity-based modelling as an integrating framework. The results indicate that there is significant potential for urban energy systems modelling to move beyond single disciplinary approaches towards a sophisticated integrated perspective that more fully captures the theoretical intricacy of urban energy systems.

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Section: ] Citesmentioning

confidence: 99%

A review of urban energy system models: Approaches, challenges and opportunities

Keirstead

Jennings

Sivakumar

2012

Renewable and Sustainable Energy Reviews

530

238

View full text Add to dashboard Cite

show abstract

“…To illustrate, electricity price (P ijk ) can be estimated to be a crisp interval of [947, 1047] $/kW h. This means that the real P ijk value is imprecise. However, we know that it falls between 947 $/ kW h and 1047 $/kW h. This expression reflects the inherent uncertainty affected by the difficulty in characterizing the system features [17,27]. In actual systems, this definition is not suitable for all cases where the two bounds may be associated with the external impact factors.…”

Section: Introductionmentioning

confidence: 93%

“…Energy planning is crucial for securing technology safe, economically efficient and environmentally friendly energy management systems [32,8,31,27,34,18]. Undoubtedly, with economic development, population growth and urban expansion, energy plays an increasingly significant role in modern economic development and human activities for achieving sustainable development of society and economy.…”

Section: Introductionmentioning

confidence: 99%

An interval full-infinite programming approach for energy systems planning under multiple uncertainties

Zhu¹,

Huang²,

He³

et al. 2012

International Journal of Electrical Power & Energy Systems

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“…What are the least-cost options for GHG abatement? 1588 Q. G. Lin et al To answer the above questions, various energy systems planning models were developed and applied to regional, national, and international jurisdictions , 2009a, 2009b, 2010b. These models viewed energy as collections of individual technologies.…”

Section: Introductionmentioning

confidence: 99%

The Optimization of Energy Systems under Changing Policies of Greenhouse-gas Emission Control—A Study for the Province of Saskatchewan, Canada

Lin

Huang

Bass

et al. 2010

Energy Sources, Part A: Recovery, Utilization, and Environmenta

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Since most of the increased greenhouse gas emissions can be attributed to activities associated with production and consumption of energy, reducing greenhouse gas emission will inevitably affect the energy industry significantly. In this study, policy cases for reflecting greenhouse gas-emission reduction and energy development in the Province of Saskatchewan, Canada are investigated. The impacts of the Kyoto target on Saskatchewan's energy system are analyzed; the least-cost strategies for dealing with greenhouse gas-emission reduction in a long-term horizon are developed. The modeling results suggested that the developed model was capable of supporting in-depth analyses for energy-related activities in response to the greenhouse gasemission reduction target and could provide effective support for the formulation of the Province's energy polices (utilization of renewable and nuclear power) and strategies in dealing with climate change issues.

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An inexact two-stage stochastic energy systems planning model for managing greenhouse gas emission at a municipal level

Cited by 40 publications

References 21 publications

A review of urban energy system models: Approaches, challenges and opportunities

A review of urban energy system models: Approaches, challenges and opportunities

An interval full-infinite programming approach for energy systems planning under multiple uncertainties

The Optimization of Energy Systems under Changing Policies of Greenhouse-gas Emission Control—A Study for the Province of Saskatchewan, Canada

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