Electrification planning using Network Planner tool: The case of Ghana

Kemausuor, Francis; Adkins, Edwin; Adu-Poku, Isaac; Brew-Hammond, Abeeku; Modi, Vijay

doi:10.1016/j.esd.2013.12.009

Cited by 102 publications

(69 citation statements)

References 19 publications

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“…For example, as noted Deichmann et al (2011) assume no existing transmission and distribution network. The work of Kemausuor et al (2014) is more comparable and their estimate of the total cost of electrification in Ghana of $US 696 million is significantly less than our estimate for the PA algorithm ($US 4.008 billion). Most likely these differences are driven by differences in assumptions about household demand and the time horizon chosen which is 10 years in their study compared to 40 years here.…”

Section: Additional Assumptionsmentioning

confidence: 54%

“…12 The tolerance level used here was 35% which simulations showed yielded the best result for the prioritisation order specified in equations (1) To provide a comparison of how prioritising demand within the HLM approach performs in terms of cost efficiency, Table 2 reports the structure of its minimum cost solution against the minimum cost solutions found using PA and DA methods 13 which were also coded and applied to the Ghana data in the present study. 13 Comparisons of our PA and DA results to those of Kemausuor et al (2014) and Deichmann et al (2011) who also implement the respective algorithms for the case of Ghana is relatively difficult because of the different data and assumptions used. For example, as noted Deichmann et al (2011) assume no existing transmission and distribution network.…”

Section: Additional Assumptionsmentioning

confidence: 99%

“…The PA algorithm terminates when all or at least one of the following conditions are reached; (1) all eligible un-electrified settlements have been connected to the network; or (2) the remaining eligible un-electrified settlements are located further from the national grid than their max MV value in which case they are assigned their cheapest off-grid technology. The PA method has been adapted for use in a number of studies including Sanoh et al (2012) and Kemausuor et al (2014).…”

Section: MVmentioning

confidence: 99%

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The politico-economics of electricity planning in developing countries: A case study of Ghana

Abdul-Salam

Phimister

2016

Energy Policy

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Off-grid technologies are increasingly being proposed as a way of ensuring cost efficient universal access to electricity in many developing countries. However, many un-electrified communities would prefer access to electricity via the national grid rather than off-grid technologies. Electricity planning based on cost efficiency alone could therefore be undermined by political pressure from discontented communities that are assigned off-grid technologies. Using a case study of un-electrified communities in Ghana, we develop an electricity planning algorithm based on hierarchical lexicographic programming and consider specifications where the priorities are adjusted to give weight to 1) cost efficiency and 2) political economy considerations so that communities with larger populations (and therefore votes) are given priority in terms of grid electrification. The results emphasise the need to incorporate the political economy considerations in the national planning of universal electrification, showing significant regional differences in terms of where grid extensions ought to be placed. Incorporating a political economy perspective in national planning also suggests that the most important policy trade-offs shift from considering the grid versus offgrid balance to focussing more on the effectiveness of grid investment in providing universal access.

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Section: Additional Assumptionsmentioning

confidence: 54%

Section: Additional Assumptionsmentioning

confidence: 99%

Section: MVmentioning

confidence: 99%

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The politico-economics of electricity planning in developing countries: A case study of Ghana

Abdul-Salam

Phimister

2016

Energy Policy

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“…Our previous studies already indicate that PV mini-grids are a viable solution to provide high quality access to electricity in Africa [9,10] and the same indications can be found in a very similar study [13]. Detailed rural electrification studies have provided helpful insights at national level [14][15][16][17][18]. The focus of this paper is to provide a geospatial analysis of the performance of PV mini-grids in Africa and South East Asia regions giving special attention to the energy storage effects.…”

Section: Motivationmentioning

confidence: 99%

Geospatial Analysis of Photovoltaic Mini-Grid System Performance

2017

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We present a geographic information system (GIS)-based tool for estimating the performance of photovoltaic (PV) mini-grid system over large geographical areas. The methodology consists of geospatial analysis and mapping of the energy output and reliability of PV mini-grid system. The algorithm uses a combination of hourly solar radiation data from satellites combined with measured data on PV module and battery performance and estimated electricity consumption data. The methods also make it possible to optimize the PV array and battery storage size for a given location. Results are presented for an area covering Africa and most of Southern and Central Asia. We also investigate the effects of using Li-ion batteries instead of the traditional lead-acid batteries. The use of our spatial analysis as decision support tool could help governments, local authorities and non-governmental organizations to investigate the suitability of PV mini-grids for electrification of regions where access to electricity is lacking. In this way it is possible to identify areas where PV mini-grids are most suitable.

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“…Senegal [41] and Ghana [42]. The underlying solution approach in Network Planner is an adaptive and fast heuristic approach which can provide solutions in a short amount of time; however, it is optimality performance (i.e.…”

Section: Cost Minimizing Rural Electrification Planning Problemsmentioning

confidence: 99%

A prize collecting Steiner tree approach to least cost evaluation of grid and off-grid electrification systems

Bolukbasi

Kocaman

2018

Energy

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The lack of access to electricity in developing countries necessitates spatial electricity planning for guiding sustainable electrification projects that evaluate the costs of centralized systems vis-a-vis decentralized approaches. Heuristic approaches have been widely used in such electrification problems to find feasible, cost effective solutions; however, most of the time global optimality of these solutions is not guaranteed. Our thesis through its modeling approach provides a new methodology to find the least cost solution to this electrification problem. We model the spatial network planning problem as Prize Collecting Steiner Tree problem which would be base for a decision support tool for rural electrification. This new method is systematically assessed using both randomly generated data and real data from rural regions across SubSaharan Africa. Comparative results for the proposed approach and a widely used heuristic method are presented based on computational experiments. Additionally, a bi-objective approach that permits to take carbon emission level into the account is implemented and experimented with numerical data.

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Electrification planning using Network Planner tool: The case of Ghana

Cited by 102 publications

References 19 publications

The politico-economics of electricity planning in developing countries: A case study of Ghana

The politico-economics of electricity planning in developing countries: A case study of Ghana

Geospatial Analysis of Photovoltaic Mini-Grid System Performance

A prize collecting Steiner tree approach to least cost evaluation of grid and off-grid electrification systems

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