Mathematical Economics of Multi-Level Optimisation

1 Introduction.- 1.1 Introduction.- 1.2 The MLO Approach.- 1.3 Energy Planning: Multi-Level Energy Planning System.- 1.4 Objectives of the Book.- 1.5 Plan of the Book.- 2 Multi-Level Optimisation.- 2.1 Introduction.- 2.2 Definitions.- 2.3 Existence and Uniqueness Problem.- 2.4 Current State of MLP Developments.- 2.5 Critical Evaluation and Directions for Further Research.- 3 Multi-Level Programming.- 3.1 Introduction.- 3.2 Parametric Programming Search Algorithm.- 3.3 MLP Solution by the PPS Algorithm.- 3.4 An Alternative Specification of an MLP Model.- 3.5 Some Issues in Using the PPS Algorithm.- 3.6 A Summary of the Algorithmic Steps.- 3.7 Software.- 3.8 Use of the PPS Algorithm in Different Types of Policy Studies.- 3.9 Application of the PPS Algorithm to Different Types of MLP.- 3.10 Advantages and Limitations of the PPS Algorithm.- 4 A Multi-Level Optimisation Approach to Multi-Level Energy Planning.- 4.1 Introduction.- 4.2 Model Evaluation Criteria.- 4.3 Existing Energy Sector Optimisation Models.- 4.4 Evaluation of Existing Energy Modelling Approaches.- 4.5 An Alternative Modelling Approach: Multi-Level Optimisation of Energy Systems and Energy Policy.- 4.6 A Multi-Level Optimisation Energy Model.- 4.7 Some Features of the Present Energy Planning Study/Approach.- 4.8 Characteristics of Multi-Level Decision Making: Some Analytical Results.- 5 A Multi-Level Optimisation Energy Planning Model for Australia.- 5.1 Introduction.- 5.2 The Australian Energy Sector the Context for Energy Planning and Modelling in Australia.- 5.3 The Australian Energy Planning Model (AEPSOM): Some Preliminaries.- 5.4 AEPSOM: Model Specification.- 5.5 AEPSOM Policy Variables.- 5.6 Data.- 5.7 Summary.- 6 The Results of the Australian Energy Planning Model.- 6.1 Introduction.- 6.2 AEPSOM Solutions and Output.- 6.3 Presentation and Discussion of the AEPSOM Results.- 6.4 Sensitivity Analysis.- 6.5 Reliability of the Results: Model Validation.- 6.6 Conclusion.- 7 An Australian Optimum