Production Cost Modeling Software

The Vendor is required to provide for production cost modeling software (resource planning "RP" software) to support the city renewable goals.
- The Integrated Resource Plan (IRP) is a comprehensive planning process used to determine how to meet department goal in a reliable, cost-effective, and environmentally responsible way.
- The solution must support one or more of the following deployment models. 
- Must indicate which models are supported and provide infrastructure requirements for each:
1. On-Premises Deployment
2. Vendor-Hosted Cloud (SaaS)
3. Customer-Hosted Cloud (IaaS/PaaS on Microsoft Azure, AWS, or Google Cloud Platform)
4. Hybrid Deployment (combination of on-premises and cloud components) - On-Premises Server Requirements
1. Operating System Compatibility
•    The solution must be compatible with the following Microsoft server operating systems:
•    Windows Server 2022 (Standard or Datacenter, 64-bit)
•    Windows Server 2019 (Standard or Datacenter, 64-bit)
2. Virtualization Support
•    The software must operate reliably in virtual environments such as:
•    Nutanix Acropolis Hypervisor (AHV)
- Cloud Hosting Requirements
1. Vendor-Hosted Cloud (SaaS)
•    Maintain responsibility for infrastructure, updates, patching, and security
•    Comply with applicable data residency requirements (specify jurisdiction if needed)
•    Ensure compliance with standards such as SOC 2, ISO 27001, HIPAA, Fed RAMP, or others as applicable
•    Provide guaranteed uptime SLAs (Service Level Agreements) and data backup protocols
•    Support secure Single Sign-On (SSO) and Multi-Factor Authentication (MFA)
2. Customer-Hosted Cloud (IaaS/PaaS)
- If the software can be deployed in a customer-managed cloud environment, it must support:
•    Microsoft Azure: Compatibility with Windows Server VMs, Azure SQL, Blob Storage, and Azure AD
•    Vendors must specify:
•    Supported cloud regions and minimum configuration (vCPU, memory, storage, OS images)
•    Any required cloud services (load balancer, database instances, storage types)
•    Recommended scaling strategy (manual, auto scaling, etc.)
- Resource Modeling Resources:
•    Energy efficiency ("EE")/demand response ("DR") programs;
•    Distributed energy resources (e.g., photovoltaic, wind, fuel cells, storage, etc.)
•    Distributed energy storage, including electric vehicles
•    Local renewable resources
•    Remote renewable resources
•    Changes to existing resources, such as repowering local generation with green hydrogen.
- Resource Modeling Features:
•    Load forecasting
•    Locational marginal pricing ("LMP") price forecasting
•    Congestion hedging strategy
•    Economic transmission analysis
•    Congestion analysis
•    Transmission constraints
•    Natural gas pipelines/storage/natural gas demand
•    Hydrogen pipelines/storage/hydrogen demand
•    Fuel contracts limits and inventories
•    Start-ups modeled as hot, warm or cold fuel requirements and/or costs.
•    Ramping rates are modeled as ramp up or ramp down MW/minute.
•    Operating reserves, spinning requirements, and regulation requirements
•    Ability to provide value-add scenarios, for modeling hydrogen and battery energy storage
•    Ancillary services production costs  
•    Batteries and storage, cycling limits, which includes daily, weekly, and annual limits for generation/discharge and payback/charging.
•    User defined time horizon (term, year, etc.) of up to 50 years
•    Ability to pre-schedule (commit) generators based on a sub-hourly set of interval definitions and then to dispatch, using that commitment result.


- Contract Period/Term: 3 years
- Questions/Inquires Deadline: August 15, 2025