A Review on Optimization Modeling of Energy Systems Planning and GHG Emission Mitigation under Uncertainty

Abstract

Abstract:Energy is crucial in supporting people's daily lives and the continual quest for human development. Due to the associated complexities and uncertainties, decision makers and planners are facing increased pressure to respond more effectively to a number of energy-related issues and conflicts, as well as GHG emission mitigation within the multiple scales of energy management systems (EMSs). This quandary requires a focused effort to resolve a wide range of issues related to EMSs, as well as the associated economic and environmental implications. Effective systems analysis approaches under uncertainty to successfully address interactions, complexities, uncertainties, and changing conditions associated with EMSs is desired, which require a systematic investigation of the current studies on energy systems. Systems analysis and optimization modeling for low-carbon energy systems planning with the consideration of GHG emission reduction under uncertainty is thus comprehensively reviewed in this paper. A number of related methodologies and applications related to: (a) optimization modeling of GHG emission mitigation; (b) optimization modeling of energy systems planning under uncertainty; and (c) model-based decision support tools are examined. Perspectives of effective management schemes are investigated, demonstrating many demanding areas for enhanced research efforts, which include issues of data availability and reliability, concerns in OPEN ACCESSEnergies 2011, 4 1625 uncertainty, necessity of post-modeling analysis, and usefulness of development of simulation techniques.

A general spatio-temporal model of energy systems with a detailed account of transport and storage

“…There are many different models available in the literature. Jebaraj and Iniyan [13], Zeng et al [14] and Bhattacharyya [15] surveyed many different energy system models, modelling approaches and their applications. Connoly et al [16] analysed and compared different existing energy system models and concluded that there are no models that are suitable for all aspects of integrated renewable energy and therefore the tool of choice will depend on the 100 specific scenario being considered.…”

“…Note that the subscripts for the flow directions are now the opposite of those that appear in equation 14.…”

Development of mathematical models and the calculations of elements of convective heat transfer systems

“…The results, obtained in the process of developing mathematical models, should be the foundation for improving their constructions and structural schemes [14,15], for optimization of the modes of their operation, for reducing harmful impact [16] and finding new approaches and solutions [17].…”

Taxing Strategies for Carbon Emissions: A Bilevel Optimization Approach

“…In [17], decision architecture for tri-level production process is proposed for implementing "environmental-benign" and low emission manufacturing industry. Optimization based approaches for low-carbon energy systems planning under uncertainty are comprehensively reviewed in [18]. In traditional single level optimization methods, emission constraints are incorporated in the economic dispatch (ED) model, so that the actual emission corresponding to the optimal solution will not violate the pre-specified value.…”