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Energy-related investment decisions in the buildings sector are heterogeneous in that the outcome for each individual varies according to budget, values, and perception of a technology, even if an apparently identical decision task is faced. In particular, the rate of adoption of new energy-efficient technologies is often hard to model and underlines the need for an advanced approach to capture diversity in decision-making, and enable the inclusion of economic, comfort, environmental and social aspects. This paper presents an enhanced agent-based model that captures several characteristics of consumer behaviour that influence investment decisions. Multiple agents with different objectives, search strategies, and decision methods are implemented. A case study is presented which illustrates the benefits of the approach for the residential sector in the UK. The agent-based method shows diversity in investment decisions, without requiring the constraints on uptake needed in many models. This leads to a range of technologies in the market during a transition phase, continuous investment in low capital cost technologies, and eventually the emergence of a low carbon system based on new mass market technologies. The system that emerges is vastly different from one observed when economically rational investment is assumed and uptake constraints are applied.

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Global warming, rising energy prices and increasing awareness of "green" customers have brought energy efficient manufacturing on top of the agenda of governments as well as of industrial companies. The industrial sector still accounts for about 33% of the final energy consumption. This paper will contribute to a more energy efficient manufacturing by demonstrating how energy efficiency can be integrated into different levels of decision-making in companies. The paper will present methods for measuring and evaluating energy efficiency improvements in manufacturing processes. Different Key Performance Indicators (KPI) will be considered and economic evaluation methods will be outlined. Moreover, an example of the integration of energy efficiency aspects into the Balanced Scorecard (BSC) will show how energy efficiency improvements in the manufacturing process can be facilitated by influencing the tactical and operational level of decision making.