Tools for Assessment

MESAP


Contents:

| Overall Description | | Data Requirements | | Spatial Coverage | | Time Horizon | | Objective | | Issue Addressed and Basic Approach | | Adaptability | | Transferability | | Hardware and Software Requirements | | Bibliography |

Organisation : IER, University of Stuttgart
Pfaffenwaldring 31
D-70550 Stuttgart 80
Germany
Contact Person : Mr. A. Reuter
Tel: 49 - 711 685 7562
Fax: 49 - 711 685 7567

Overall description

MESAP is a modular energy planning package with the specific needs of developing countries in mind. It is designed as a flexible planning package providing energy analysts and planners with tools to perform complex energy analysis. It consists of: basic techniques for energy planning, a set of tested energy modules, and data management and processing software. At the heart of MESAP is a network oriented database.

Data Requirements

- Base year energy balance, base year economic activities;
- Energy technology characteristics; performance, costs, investments;
- Technological, environmental, political constraints;
- World energy prices (imports);
- Resources, potentials, restrictions;
- Optional: emission factors.

Spatial coverage

Regional or national (investment calculation program - INCA is local).

Time horizon

Mid to long term;
Resolution: Year - split in seasons; simplified load duration curves;
Steps: Monthly or yearly in INCA;
Yearly in WASP and MADE;
Yearly or per period in LP.

Objective

Energy and Environmental Policy Analysis and Planning.
INCA: Comparative Assessment of single technologies on an economic basis;
PLANET/MADE: Demand analysis, which can be expanded to a simulation model covering the supply sector, too;
MESSAGE: Integrated energy systems analysis;
WASP: Least-cost power plant expansion;
ENIS: Energy Information System on Time Series, Energy Balances and Technology Data.

Issues addressed and basic approach

Macroeconomic analysis
Country-specific econometric model.

Total energy system analysis

Demand analysis: Analysis of energy requirements at the useful energy level, or optionally, on the final energy level; choice of econometric and process engineering methods, user specified sectors and fuels considered; level of calculation is specified by the user - model can be expanded until the resource level (simulation model);
Resource analysis: Simple representation of depletable and renewable resources; different grades and resource limits can bespecified by user;
Supply side analysis: Either a simulation program or a LP-package (MESSAGE) is available. Both models are technology-oriented.
Supply/demand balance: Yes.
Detailed electric system analysis
Load curve: Calculated from demand analysis result or exogenous input;
Load characterization: Hourly, seasonal, annual load characteristics;
Generation expansion analysis: Dynamic programming on least-cost basis;
Transmission: Can be modelled in supply model (LP).
Environmental analysis
Air-pollution: All kinds of air pollution can be calculated at emission level;
Water: Not explicitly covered;
Solid waste: Possible;
Land use: Possible;
Occupational health and safety: Possible.

Decision support analysis: MESAP is designed to support all stages of decision making.

Adaptability

Flexibility
Structure of energy systems can be adapted to statistical data available. Level of detail of analysis is user-defined. Analysed system can be expanded to cover non-energy sectors, too. User programs can be incorporated.

Future development
1. Demand Model is going to be expanded to a full-scope simulation model covering both, demand analysis and supply until the resource level. Model will allow to consider hourly load curves in order to analyze renewable and co-generation.
2. Development of a General Equilibrium Model based on the I/O technique and incorporating LP features to model the technical characteristics of the energy and environmental system. Model is used to analyze policy impacts of pricing and taxation strategies mainly.
3. Development of a central network database with graphical interface (network monitor). The actual hierarchical database will be replaced by a relational concept for all modules. All modules access the same database and allow the graphical representation in a network format. The monitor will be used for the design of the network, the data input and the presentation of results.

Transferability

User friendliness
Some modules are menu-driven (PLANET, INCA, MADE, etc.), others are not (MESSAGE). Error checking is provided, as well as an executive menu driven shell.

Documentation
User Manual is available in English, as training material.

Training Depends on modules to be used and on the specific problems to be analysed, as well as on the background of the person to be trained. IER offers general planning courses of 3-10 weeks, specific classes on specific modules and guided co-operative case studies.

Case studies
Germany Cost-Effectiveness Analysis, Rational Use of Energy;
Poland Cost-Effectiveness Analysis;
Turkey Power Plant Expansion;
Seychelles Demand Analysis;
Nigeria Policy Analysis with Emphasis on Rural Aspects;
Zaire Policy Studies on Representative Settlements;
El Salvador Policy Studies with Emphasis on Biomass;
Madagascar Demand Analysis and Regional Supply Concept;
Austria Cost-Effectiveness Analysis.

Hardware and software requirements

Hardware
Minimum PC-386;
30 MB hard drive.

Software
DOS or UNIX;
For MESSAGE III (LP-supply model): MINOS (LP-Solver);
For ENIS (Energy information system): Paradox (Database);
QuattroPro (Spreadsheet);
For statistical analyses: SYSTAT;
For econometric modelling: IAS.

Bibliography

Mumtaz, A. et al., A WASP3 Based Electric System Expansion Planning Study for Pakistan with Constant and Variable Load Duration Curves, Pakistan Atomic Energy Commission, Islamabad, Pakistan, August 1990.

Reuter, A., MESAP Microcomputer-based Energy Sector Analysis and Planning System, overview brochure, University of Stuttgart, August 1990.

Reuter, A., Rational Use of Energy in Developing Countries Modelling Tools: Case Study Nigeria, 25th Intersociety Energy Convention Engineering Conference, Reno, 1990.

Reuter A., et al., MESAP Manual, University of Stuttgart, October 1989.

Saboohi, Y., Ein regionalisiertes Modell für die Energieplanung in Entwicklungslaendern (A Regionalized Model for Energy Planning in Developing countries), doctoral thesis describing an application for Iran, University of Stuttgart, October 1989.

Voss, A., A. Adegbulugbe, F. Dayo, A. Reuter, Energy Policy Planning in Developing Countries: Applications of a Microcomputer Based Energy Planning Tool, Intl. Assn. of Energy Economists (W Germany) 7th Conf., Bonn, Jun 3-5, 85, vol. 11, p

Voss, A., A. Reuter, H. Elischer, T. Mueller, Y. Saboohi, and S. Schnabel, Validation of the Integrated Energy Planning System MESAP - A Country Case Study, University of Stuttgart, May 1990.