Abstract

Increasing demand for energy and emphasis on environmental sustainability has started to revolutionize the existing energy infrastructure within the built environment. In parallel, more distributed energy systems are rapidly springing up. These changes inevitably influence the design, operation and management of buildings. Recently, the energy and environmental evaluation of buildings for long-term decision-making and planning has shifted the boundaries from single buildings towards neighborhood scale. This is because buildings as a cluster can enhance the incorporation of distributed energy systems when realizing energy neutrality in the long run.However, when assessing the energy and environmental performance of infrastructural developments at the neighborhood level, the life-cycle aspect of energy systems is rarely considered. To understand the overall impacts from production to end-of-life stage, it is essential to assess the energy and environmental performance of clean energy initiatives from a life-cycle perspective.This paper proposes a novel decision support methodology by means of life cycle performance design-based approach to facilitate the planning process to realize energy neutral neighborhoods. The assessment methodology is developed based on scenario analysis through computational simulations. This is followed by a deterministic evaluation and the results let the decision-makers to select a suitable clean energy development scenario. The uncertainty of the selected scenario is scrutinized by performing a probabilistic sensitivity analysis using Monte Carlo simulations. A pragmatic case study has been analyzed and the results demonstrate the feasibility of exercising the proposed methodology in practice. The recommendations and limitations of realizing energy neutral neighborhoods are depicted subsequently.

Highlights

  • The concept of energy transition is gaining traction globally as various governments have set ambitious targets to move from the fossilbased energy system towards a system using a considerable amount of distributed renewable energy sources [1]

  • Towards attaining the goals of energy transition, in addition to increase in the share of renewable energy sources, great emphasis has been placed on improving the efficiency of production systems [3] and improving energy savings [3] and flexibility [6] on the demand side

  • Life Cycle Performance Design (LCPD) [42] and Key Performance Indicators (KPIs) [63] are techniques which are capable of such applications

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Summary

Introduction

The concept of energy transition is gaining traction globally as various governments have set ambitious targets to move from the fossilbased energy system towards a system using a considerable amount of distributed renewable energy sources [1]. The overarching performance assessment of energy infrastructure developments including the production, operation and end-of-life stage has been evaluated by only a few researchers [31,38,39] These studies to focus only on single infrastructure components (Example: PV) [39,40] or individual buildings [38]. This study evaluates the energy infrastructure development scenarios in the life cycle perspective as a decision-support method to realize energy neutrality in the long run. This facilitates the possibility of estimating the effects of different transition scenarios and gives the opportunity to the decision maker to identify the best-value compromise or option for neighborhood-level energy infrastructure developments.

Influence of energy transition on building neighborhoods
Proposed methodology with performance indicators
LCPD based KPIs
Overview of the methodology
Case study
Scenario identification
Computational analysis and calculations
Scenario 1
Performance assessment using KPIs
Life cycle energy performance
Life cycle energy performance of scenarios
Decision making
Findings
Discussion and future work
Full Text
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