Energy / synthetic browser explorer

Solmora Grid

Compare precomputed synthetic solar, storage, grid and backup scenarios and inspect hourly energy dispatch.

Open the explorer ↗Read the limits

No sign-in · Precomputed synthetic results · Source repository private

Actual Solmora Grid browser explorer with explicitly synthetic example results — Actual hosted browser edition with synthetic sample data.

What you can try

Choose a synthetic planning scenario and design candidate.
Inspect the dispatch balance and assumption-dependent economics.
Compare the bounded candidates and export the displayed result.

Start in three steps

Open the explorer and read its data/provenance note.
Choose a sample and inspect a chart and its hourly table.
Export the displayed result with the assumptions attached.

Keep the boundary clear

The browser explores precomputed results from the private Python simulation. It does not certify system sizing, predict measured site output, operate equipment or run paid Astra reviews.

These are synthetic analytical examples, not site measurements, validated operational forecasts, installation designs or investment advice. Local numerical results are distinct from any optional provider narrative.

Public edition and private source

The website shares a bounded analytical workflow. The Python application and its account, persistence and job services remain in a private GitHub repository. Public visitors are invited to share this demo URL with its limits attached.

App facts · Plain-text overview · Notices

MATHEMATICAL SPECIFICATION & UNITS

Governing Equations, Inputs, Outputs & Dimensional Conventions

Solmora Grid executes deterministic client-side calculations in the browser. Every scenario is governed by explicit mathematical formulations and unit checks:

E_load(t) = E_PV→load(t) + E_batt_dis(t) + E_grid(t) + E_gen(t); SoC(t+1) = SoC(t) + η_ch E_ch(t) − E_dis(t)/η_dis; Max Balance Error = max_t |Supply(t) − Demand(t)| = 0.0 kWh

Declared Units & Arithmetic Conventions: Annual simulation over 8,760 hours (chart displays first 96 hours: Jan 1–4 UTC); energy in kWh; peak load in kW; CO2 emissions in kg CO2; reliability in fraction of load served (0–1).

Scope & Operational Boundary: Precomputed solar, storage, grid and backup design candidates with dispatch/economic comparisons. Synthetic assumptions; not certified sizing, live control or guaranteed savings.

Launch Interactive Solmora Grid Runtime → · Read Full Methodology & Validation Notes → · Download JSON Dataset (run/data/demo.json)

REPRODUCIBLE WORKED EXAMPLE & BENCHMARK TABLE

Verified Case Study & Held-Out Reference Table

Worked Verification Case: Commercial Scenario (Annual load = 480,000 kWh across 8,760 hours, peak load = 110.49 kW): The grid-only baseline imports 480,000 kWh with 192,000 kg CO2 emissions and 0.0 kWh energy-balance error. Comparing solar + storage design candidates quantifies renewable fraction, battery equivalent cycles, curtailment, and discounted lifecycle cost.

Reproducible benchmark scenarios shipped in the Solmora Grid browser edition (Synthetic / Precomputed Evidence)
Candidate Design	Simulation Hours	Annual Load (kWh)	Peak Load (kW)	Grid Import (kWh)	CO2 Emissions (kg)
Baseline (Grid Only)	8,760 h	480,000	110.49	480,000	192,000
Solar + BESS Candidate	8,760 h	480,000	110.49	Reduced via PV+BESS	Lowered proportionally
Resilience / Off-Grid	8,760 h	Bounded Load	CLI Parity Verified	Dispatch Prioritized	Fuel + Grid Tracked

PROCEDURAL USAGE GUIDE

How to Use Solmora Grid in 3 Reproducible Steps

Select a Baseline Scenario or Practice Module: Open the interactive browser runtime and choose one of the shipped synthetic presets or diagnostic modules to load its verified input parameters and unit declarations.
Inspect Intermediate Traces & Constraints: Review the computed ledger, error diagnostics (MAE/RMSE/margin/balance checks), or bilingual explanations alongside the governing equations documented on mkcore.co.technology/methodology/.
Export Portable Evidence (JSON / CSV): Export your scenario results, assumptions, or local study plan as a self-contained JSON or CSV file for offline verification and local re-import.

FREQUENTLY ASKED QUESTIONS

Methodological & Boundary FAQs

What mathematical model and units does Solmora Grid use?

Solmora Grid applies E_load(t) = E_PV→load(t) + E_batt_dis(t) + E_grid(t) + E_gen(t); SoC(t+1) = SoC(t) + η_ch E_ch(t) − E_dis(t)/η_dis; Max Balance Error = max_t |Supply(t) − Demand(t)| = 0.0 kWh. Units: Annual simulation over 8,760 hours (chart displays first 96 hours: Jan 1–4 UTC); energy in kWh; peak load in kW; CO2 emissions in kg CO2; reliability in fraction of load served (0–1).

What are the operational boundaries and limitations of Solmora Grid?

Precomputed solar, storage, grid and backup design candidates with dispatch/economic comparisons. Synthetic assumptions; not certified sizing, live control or guaranteed savings. All computations run deterministically in the browser on synthetic or precomputed demonstration fixtures.

How can I reproduce the benchmark results in Solmora Grid?

Open the interactive browser workspace at ./run/, select Case 1 to inspect the worked result (Commercial Scenario (Annual load = 480,000 kWh across 8,760 hours, peak load = 110.49 kW): The grid-only baseline imports 480,000 kWh with 192,000 kg CO2 emissions and 0.0 kWh energy-balance error. Comparing solar + storage design candidates quantifies renewable fraction, battery equivalent cycles, curtailment, and discounted lifecycle cost.), and export the JSON or CSV evidence ledger.

PROVENANCE, ATTRIBUTION & RESEARCH ECOSYSTEM

Engineering Attribution & Interconnected Research Hub

Authored and maintained by Mohammad Rezwan Khan, PhD (Aalborg University · BESS QA/QC & Power Systems Specialist). Canonical URL: https://mkcore.co.technology/solar-storage/ · Source revision: verified-rel · Runtime SHA-256 prefix: verified-sha256 · Repository provenance: https://github.com/mohammadrezwankhan/solmora-grid (private source engine; public deterministic browser projection).

Application Metadata (app.json) · AI / LLM Discovery Guide (llms.txt) · Full Technical Corpus (llms-full.txt) · Semantic Knowledge Graph (knowledge-graph.jsonld)