PeopleSuN Off Grid Planning Tool - Revision history

Tobias Rieper: edit citation link

2023-12-19T15:27:56Z

edit citation link

Tobias Rieper: adding correct citation link

2023-12-19T15:26:30Z

adding correct citation link

Tobias Rieper: Add general description and process steps of tool.

2023-12-19T15:16:06Z

Add general description and process steps of tool.

Hector Alfaro at 10:15, 13 September 2023

2023-09-13T10:15:24Z

Hector Alfaro: Hector Alfaro moved page Design Supply Infrastructure - PeopleSuN Off Grid Planning Tool to PeopleSuN Off Grid Planning Tool without leaving a redirect

2023-09-13T10:14:09Z

Hector Alfaro moved page Design Supply Infrastructure - PeopleSuN Off Grid Planning Tool to PeopleSuN Off Grid Planning Tool without leaving a redirect

Hector Alfaro: Hector Alfaro moved page Nigeria Off-Grid Solar Knowledge Hub - Design Supply Infrastructure - PeopleSuN Off Grid Planning Tool to Design Supply Infrastructure - PeopleSuN Off Grid Planning Tool without leaving a redirect

2023-09-13T08:00:25Z

Hector Alfaro moved page Nigeria Off-Grid Solar Knowledge Hub - Design Supply Infrastructure - PeopleSuN Off Grid Planning Tool to Design Supply Infrastructure - PeopleSuN Off Grid Planning Tool without leaving a redirect

Sophia Schneider at 08:55, 14 August 2023

2023-08-14T08:55:42Z

Sophia Schneider at 08:52, 14 August 2023

2023-08-14T08:52:59Z

Sophia Schneider at 08:49, 14 August 2023

2023-08-14T08:49:00Z

Sophia Schneider: Sophia Schneider moved page Nigeria Off-Grid Solar Knowledge Hub - Design Supply Infrastructure - Minigrid Design Optimisation Tool to Nigeria Off-Grid Solar Knowledge Hub - Design Supply Infrastructure - PeopleSuN Off Grid Planning Tool without leaving a redirect

2023-08-14T08:04:35Z

Sophia Schneider moved page Nigeria Off-Grid Solar Knowledge Hub - Design Supply Infrastructure - Minigrid Design Optimisation Tool to Nigeria Off-Grid Solar Knowledge Hub - Design Supply Infrastructure - PeopleSuN Off Grid Planning Tool without leaving a redirect

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 '''2.'''      '''Consumer Selection:''' The tool offers the option to enter the positions of individual consumers on an integrated map or to mark areas using drawing tools, within which buildings can be automatically identified as consumers (if an OSM building footprint is available for the chosen area).
-'''3.'''      '''Demand Estimation:''' Once the geolocation of consumers is defined, a demand estimation is carried out for the consumers. For the households demand estimation statistical methods are used (see PeopleSuN survey dataset<ref>[[PeopleSuN Off Grid Planning Tool#%20ftnref1|]https://www.nature.com/articles/s41597-023-02185-0]]</ref>), employing different distribution functions for household tiers depending on the respective regions. For productive users, additional user-provided information is necessary to estimate their demand.
+'''3.'''      '''Demand Estimation:''' Once the geolocation of consumers is defined, a demand estimation is carried out for the consumers. For the households demand estimation statistical methods are used (see PeopleSuN survey dataset<ref>https://www.nature.com/articles/s41597-023-02185-0</ref>), employing different distribution functions for household tiers depending on the respective regions. For productive users, additional user-provided information is necessary to estimate their demand.
 '''4.'''      '''Energy System Design:''' With the user’s further input on technical and economic parameters and the selection of technology options (PV system, battery system, diesel generator, inverter, converter), the energy model is fed with input data. After that the tool is ready to simulate and optimize the chosen energy system.

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 '''1.      Project Setup:''' Enter general project information like project name, project lifetime, interest rate.
-.      '''Consumer Selection:''' The tool offers the option to enter the positions of individual consumers on an integrated map or to mark areas using drawing tools, within which buildings can be automatically identified as consumers (if an OSM building footprint is available for the chosen area).
+'''2.'''      '''Consumer Selection:''' The tool offers the option to enter the positions of individual consumers on an integrated map or to mark areas using drawing tools, within which buildings can be automatically identified as consumers (if an OSM building footprint is available for the chosen area).
-.      '''Demand Estimation:''' Once the geolocation of consumers is defined, a demand estimation is carried out for the consumers. For the households demand estimation statistical methods are used (see PeopleSuN survey dataset[[PeopleSuN Off Grid Planning Tool#%20ftn1|[1]]] ), employing different distribution functions for household tiers depending on the respective regions. For productive users, additional user-provided information is necessary to estimate their demand.
+'''3.'''      '''Demand Estimation:''' Once the geolocation of consumers is defined, a demand estimation is carried out for the consumers. For the households demand estimation statistical methods are used (see PeopleSuN survey dataset<ref>[[PeopleSuN Off Grid Planning Tool#%20ftnref1|]https://www.nature.com/articles/s41597-023-02185-0]]</ref>), employing different distribution functions for household tiers depending on the respective regions. For productive users, additional user-provided information is necessary to estimate their demand.
-.      '''Energy System Design:''' With the user’s further input on technical and economic parameters and the selection of technology options (PV system, battery system, diesel generator, inverter, converter), the energy model is fed with input data. After that the tool is ready to simulate the chosen energy system.
+'''4.'''      '''Energy System Design:''' With the user’s further input on technical and economic parameters and the selection of technology options (PV system, battery system, diesel generator, inverter, converter), the energy model is fed with input data. After that the tool is ready to simulate and optimize the chosen energy system.
 '''5.      Simulation Results:''' Once the simulation and optimization process has finished, this section shows the key results: Levelized cost of electricity (LCOE), total upfront investment costs, Optimized capacities of energy conversion technologies, number of grid connected consumers, number of SHS consumers, total annual consumption etc. Several diagrams depict the energy flows in the system and the cost distribution among the components. A results report can be downloaded.
 For further information and guidance please consult the question-mark-icons next to the input parameters. Furthermore, there are short video tutorials available for the consumer selection process and for the SHS input parameter.
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 {{Backlink Dimension Supply}}
-As part of the research project PeopleSuN, the browser-based tool for planning off-grid systems was developed, which can be accessed at the website https://offgridplanner.org. The tool allows for both spatial optimization of an electrical grid and optimization of the design and unit commitment of the available energy converter technologies.
+In the research project PeopleSuN a browser-based tool for planning off-grid systems was developed that can be accessed at the website https://offgridplanner.org. Offgridplanner is an open-source tool that simulates and optimizes off-grid electricity supply systems. The energy model of the tool is based on the ''[https://oemof.org/ open energy modelling framework]'' and the optimization of the component sizes and mini-grid (distribution grid) layout is conducted using a [https://www.gurobi.com/solutions/gurobi-optimizer/ GUROBI] solver.
-The tool offers the option to enter the positions of individual consumers on an integrated map or to mark areas using drawing tools, within which buildings can be automatically identified as consumers. Once the geolocation of consumers is defined, a demand estimation is carried out for each consumer. For the households demand estimation statistical methods are used, employing different distribution functions for household tiers depending on the respective regions. For businesses, additional user-provided information is necessary, such as categorizing them to enable demand estimation.
+Offgridplanner is comparable to other off-grid energy modelling tools like [https://www.homerenergy.com/ HOMER] and [https://reopt.nrel.gov/tool ReOpt]; additionally, it offers a distribution grid design feature that shows the optimized grid layout, incl. location of the connected consumers, the powerhouse and potential Solar Homer System (SHS) consumers.
-With the user's further input on technical and economic parameters and the selection of technology options (PV systems, battery systems, diesel engines, inverters, converters), the optimization of the mini-grid takes place. Optionally, consumers with high connection costs can be identified for whom a solar home system is preferable to grid connection.
+The tool comprises the following steps:
-The PeopleSuN Off Grid Planning Tool is based on the [[PeopleSuN Demand Modeling|PeopleSuN Demand Modeling]] which was constructed by utilizing the [[PeopleSuN Survey Data|PeopleSuN Survey Data]]. For more detailed information regarding the calculations and methodologies used to construct the demand modeling that was used for developing the off-grid planner, please refer to the method publication<ref>Pelz, S., Chinichian, N., Neyrand, C., & Blechinger, P. (2023). Electricity supply quality and use among rural and peri-urban households and small firms in Nigeria. Scientific Data, 10(1), 273. <nowiki>https://doi.org/10.1038/s41597-023-02185-0</nowiki></ref>.
+'''1.      Project Setup:''' Enter general project information like project name, project lifetime, interest rate.
-Dummy page
+.      '''Consumer Selection:''' The tool offers the option to enter the positions of individual consumers on an integrated map or to mark areas using drawing tools, within which buildings can be automatically identified as consumers (if an OSM building footprint is available for the chosen area).
 </div>
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 With the user's further input on technical and economic parameters and the selection of technology options (PV systems, battery systems, diesel engines, inverters, converters), the optimization of the mini-grid takes place. Optionally, consumers with high connection costs can be identified for whom a solar home system is preferable to grid connection.
-The PeopleSuN Off Grid Planning Tool is based on the [[Nigeria Off-Grid Solar Knowledge Hub - Estimate and Stimulate Demand - PeopleSuN Demand Modeling|PeopleSuN Demand Modeling]] which was constructed by utilizing the [[Nigeria Off-Grid Solar Knowledge Hub - PeopleSuN Survey Data|PeopleSuN Survey Data]]. For more detailed information regarding the calculations and methodologies used to construct the demand modeling that was used for developing the off-grid planner, please refer to the method publication<ref>Pelz, S., Chinichian, N., Neyrand, C., & Blechinger, P. (2023). Electricity supply quality and use among rural and peri-urban households and small firms in Nigeria. Scientific Data, 10(1), 273. <nowiki>https://doi.org/10.1038/s41597-023-02185-0</nowiki></ref>.
+The PeopleSuN Off Grid Planning Tool is based on the [[PeopleSuN Demand Modeling|PeopleSuN Demand Modeling]] which was constructed by utilizing the [[PeopleSuN Survey Data|PeopleSuN Survey Data]]. For more detailed information regarding the calculations and methodologies used to construct the demand modeling that was used for developing the off-grid planner, please refer to the method publication<ref>Pelz, S., Chinichian, N., Neyrand, C., & Blechinger, P. (2023). Electricity supply quality and use among rural and peri-urban households and small firms in Nigeria. Scientific Data, 10(1), 273. <nowiki>https://doi.org/10.1038/s41597-023-02185-0</nowiki></ref>.
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 With the user's further input on technical and economic parameters and the selection of technology options (PV systems, battery systems, diesel engines, inverters, converters), the optimization of the mini-grid takes place. Optionally, consumers with high connection costs can be identified for whom a solar home system is preferable to grid connection.
-The PeopleSuN Off Grid Planning Tool is based on the [[Nigeria Off-Grid Solar Knowledge Hub - Estimate and Stimulate Demand - PeopleSuN Demand Modelling|PeopleSuN Demand Modeling]] which was constructed by utilizing the [[Nigeria Off-Grid Solar Knowledge Hub - PeopleSuN Survey Data|PeopleSuN Survey Data]]. For more detailed information regarding the calculations and methodologies used to construct the demand modeling that was used for developing the off-grid planner, please refer to the method publication<ref>Pelz, S., Chinichian, N., Neyrand, C., & Blechinger, P. (2023). Electricity supply quality and use among rural and peri-urban households and small firms in Nigeria. Scientific Data, 10(1), 273. <nowiki>https://doi.org/10.1038/s41597-023-02185-0</nowiki></ref>.
+The PeopleSuN Off Grid Planning Tool is based on the [[Nigeria Off-Grid Solar Knowledge Hub - Estimate and Stimulate Demand - PeopleSuN Demand Modeling|PeopleSuN Demand Modeling]] which was constructed by utilizing the [[Nigeria Off-Grid Solar Knowledge Hub - PeopleSuN Survey Data|PeopleSuN Survey Data]]. For more detailed information regarding the calculations and methodologies used to construct the demand modeling that was used for developing the off-grid planner, please refer to the method publication<ref>Pelz, S., Chinichian, N., Neyrand, C., & Blechinger, P. (2023). Electricity supply quality and use among rural and peri-urban households and small firms in Nigeria. Scientific Data, 10(1), 273. <nowiki>https://doi.org/10.1038/s41597-023-02185-0</nowiki></ref>.
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