Update paper.md

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Author: snag427

paper.md

@@ -40,7 +40,7 @@ Conducting pre-feasibility studies on hydro power sites can be expensive, techni
 
 HydroGenerate offers a modular, customizable, and well-documented [@HG] tool for hydropower potential estimation, pre-design, and evaluation of various project types. HydroGenerate is equipped with multiple features to support this task. Example features include a) turbine technology selection based on hydraulic head and design flow, b) power output estimation using  efficiency curves that are specific to turbine type and size, c) compatibility with United States Geological Survey (USGS) dataretrieval Python package [@USGS] to minimize data management and user learning burdens, d) flow data processing for technology-based or maintenance constraints, e) head-loss calculation methods, and f) embedded cost estimates based on the hydropower project type (i.e., non-powered dams, new stream-reach, canal-conduit, pumped storage hydro with existing infrastructure, new pumped storage hydro, unit additions to existing hydropower units, and generator rewinds) based on ORNL baseline cost model [@osti_1244193]. These features also distinguish HydroGenerate from closed and membership-based platforms such as RETScreen [@RETSCREEN], which lacks functionality for flow data analysis and operational constraints related to practical operation, head loss calculation in the penstock, and initial capital cost and operation and maintenance estimations. 
 
-Additionally, researchers can leverage HydroGenerate for large and small-scale hydropower problems. Consider the following example research use cases: a) Power and energy system researchers require power system models for different seasonal hydrological conditions to estimate power reserves among other capabilities of hydropower generation assets. Using historical data, HydroGenerate can estimate the potential for multiple sites, thereby contributing to the creation of more realistic power system models, b) for dynamic studies of power systems, dynamic models of turbines are required, which require efficiency curves. However, efficiency curves are not usually available as they are proprietary data. HydroGenerate can help estimate these efficiency curves, c) environmental researchers can utilize the tool to determine the impact of factors such as sedimentation, drought, or glacier recession on hydropower production through appropriate head and flow data input, c) turbine design researchers can use the modular features of HydroGenerate to quantify the technical and economic benefits and suitability of new turbine modules, d) market researchers can examine new operational constraints to align with power purchase agreements, electricity price profiles or other requirements. Apart from these use cases, HydroGenerate provides technical and economic potential that fits well into a family of multi-objective optimization problems. These use cases highlight the versatility and importance of HydroGenerate in various research and planning scenarios.
+Additionally, researchers can leverage HydroGenerate for large and small-scale hydropower problems. Consider the following example research use cases: a) Power and energy system researchers require power system models for different seasonal hydrological conditions to estimate power reserves among other capabilities of hydropower generation assets. Using historical data, HydroGenerate can estimate the potential for multiple sites, thereby contributing to the creation of more realistic power system models, b) for dynamic studies of power systems, dynamic models of turbines are required, which require efficiency curves. However, efficiency curves are not usually available as they are proprietary data. HydroGenerate can help estimate these efficiency curves, c) environmental researchers can utilize the tool to determine the impact of factors such as sedimentation, drought, or glacier recession on hydropower production through appropriate head and flow data input, d) turbine design researchers can use the modular features of HydroGenerate to quantify the technical and economic benefits and suitability of new turbine modules, e) market researchers can examine new operational constraints to align with power purchase agreements, electricity price profiles or other requirements. Apart from these use cases, HydroGenerate provides technical and economic potential that fits well into a family of multi-objective optimization problems. These use cases highlight the versatility and importance of HydroGenerate in various research and planning scenarios.
 
 Additional research has uncovered automated approaches for identifying sites with hydropower potential by using Geographic Information Systems (GIS) in combination with summaries of flow data [@Arefiev]. HydroGenerate can be used in combination with tools implementing this or other GIS functionality, to analyze generation and plant characteristics once sites have been identified and expand their usability. For example, HydroGenerate was used to assess hydropower potential across multiple non-powered dams where head data was available or was estimated using remote sensing data [@osti_1968288]. Additionally, HydroGenerate is used on IrrigationViz, a GIS-based software, to assess hydropower potential on agricultural infrastructure, demonstrating its flexibility for supporting other analysis [@irrigationviz].