Optimal distributed energy resources and the cost of reduced greenhouse gas emissions in a large retail shopping centre
Description
Highlights: • Optimal options for distributed energy resources are analysed for a shopping centre. • A multiobjective optimisation model is formulated and solved using DER-CAM. • Cost and emission trade-offs are compared in four key optimal investment scenarios. • Moderate investment in DER technologies lowers emissions by 29.6% and costs by 8.5%. • Larger investment in DER technologies lowers emissions by 72% at 47% higher costs. - Abstract: This paper presents a case study on optimal options for distributed energy resource (DER) technologies to reduce greenhouse gas emissions in a large retail shopping centre located in Sydney, Australia. Large retail shopping centres take the largest share of energy consumed by all commercial buildings, and present a strong case for adoption of DER technologies to reduce energy costs and emissions. However, the complexity of optimally designing and operating DER systems has hindered their widespread adoption in practice. This paper examines and demonstrates the value of DER in reducing the carbon footprint of the shopping centre by formulating and solving a multiobjective optimisation problem using the Distributed Energy Resources Customer Adoption Model (DER-CAM) tool. An economic model of the shopping centre is developed in DER-CAM using on-site-specific demand, tariffs, and performance data for each DER technology option available. Four key optimal DER technology investment scenarios are then analysed by comparing: (1) solution trade-offs of costs and emissions, (2) the cost of reduced emissions attained in each investment scenario, and (3) investment benefits with respect to the business-as-usual scenario. The analysis shows that a moderate investment in combined cooling, heat and power (CCHP) technology alone can reduce annual energy costs by 8.5% and carbon dioxide-equivalent emissions by 29.6%. A larger investment in CCHP technology, in conjunction with on-site solar photovoltaic (PV) generation, can deliver nearly 72% reductions in emissions at a 47% increase in total energy costs. The study demonstrates the effectiveness and flexibility of this type of modelling approach for the analysis, design, and ongoing assessment of new DER technologies under changing market conditions, supporting a more robust adoption of DER technologies in the commercial building sector
Availability note (English)
Available from http://dx.doi.org/10.1016/j.apenergy.2015.05.085Additional details
Identifiers
- DOI
- 10.1016/j.apenergy.2015.05.085;
- PII
- S0306-2619(15)00718-7;
Publishing Information
- Journal Title
- Applied Energy
- Journal Volume
- 155
- Journal Page Range
- p. 120-130
- ISSN
- 0306-2619
- CODEN
- APENDX
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 47019253
- Subject category
- S54: ENVIRONMENTAL SCIENCES;
- Descriptors DEI
- AIR POLLUTION ABATEMENT; AUSTRALIA; CARBON DIOXIDE; CARBON FOOTPRINT; COMBINED CYCLES; COST; EMISSIONS TAX; ENERGY ACCOUNTING; ENERGY EFFICIENCY; GREENHOUSE GASES; INVESTMENT; MARKET; OPTIMIZATION; PHOTOVOLTAIC EFFECT; SHOPPING CENTERS; SIMULATION; TARIFFS
- Descriptors DEC
- ACCOUNTING; AUSTRALASIA; BUILDINGS; CARBON COMPOUNDS; CARBON OXIDES; CHALCOGENIDES; COMMERCIAL BUILDINGS; DEVELOPED COUNTRIES; EFFICIENCY; ENERGY ANALYSIS; OXIDES; OXYGEN COMPOUNDS; PHOTOELECTRIC EFFECT; POLLUTION ABATEMENT; TAXES; THERMODYNAMIC CYCLES
Optional Information
- Copyright
- Copyright (c) 2015 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.